{"version": 2, "width": 307, "height": 25, "timestamp": 1754656849, "env": {"SHELL": "/bin/zsh", "TERM": "xterm-256color"}}
[0.236816, "o", "\u001b[H\u001b[J\r\n"]
[3.437461, "o", "\u001b[H\u001b[J## 1\r\n\r\n\r\n\r\n\r\n"]
[3.437806, "o", "\u001b[H\u001b[J## 1.\r\n\r\n\r\n\r\n\r\n"]
[3.438139, "o", "\u001b[H\u001b[J## 1. Prepare\r\n\r\n\r\n\r\n\r\n"]
[3.438485, "o", "\u001b[H\u001b[J## 1. Prepare the\r\n\r\n\r\n\r\n\r\n"]
[3.439856, "o", "\u001b[H\u001b[J## 1. Prepare the code\r\n\r\n\r\n\r\n\r\n"]
[3.4402, "o", "\u001b[H\u001b[J## 1. Prepare the codebase\r\n\r\n\r\n\r\n\r\n"]
[3.440789, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and\r\n\r\n\r\n\r\n\r\n"]
[3.441438, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project\r\n\r\n\r\n\r\n\r\n"]
[3.455275, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n\r\n"]
[3.457875, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2\r\n\r\n\r\n\r\n\r\n"]
[3.458362, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2.\r\n\r\n\r\n\r\n\r\n"]
[3.458722, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose\r\n\r\n\r\n\r\n\r\n"]
[3.46119, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a\r\n\r\n\r\n\r\n\r\n"]
[3.461603, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license\r\n\r\n\r\n\r\n\r\n"]
[3.461966, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and\r\n\r\n\r\n\r\n\r\n"]
[3.462333, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set\r\n\r\n\r\n\r\n\r\n"]
[3.463886, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n\r\n"]
[3.466176, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3\r\n\r\n\r\n\r\n\r\n"]
[3.466766, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3.\r\n\r\n\r\n\r\n\r\n"]
[3.476911, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write\r\n\r\n\r\n\r\n\r\n"]
[3.477714, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear\r\n\r\n\r\n\r\n\r\n"]
[3.479384, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation\r\n\r\n\r\n\r\n\r\n"]
[3.480009, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and\r\n\r\n\r\n\r\n\r\n"]
[3.480323, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution\r\n\r\n\r\n\r\n\r\n"]
[3.480677, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n\r\n"]
[3.516872, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4\r\n\r\n\r\n\r\n\r\n"]
[3.550504, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4.\r\n\r\n\r\n\r\n\r\n"]
[3.551891, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package\r\n\r\n\r\n\r\n\r\n"]
[3.571288, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package,\r\n\r\n\r\n\r\n\r\n"]
[3.572665, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test\r\n\r\n\r\n\r\n\r\n"]
[3.579125, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test,\r\n\r\n\r\n\r\n\r\n"]
[3.580183, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and\r\n\r\n\r\n\r\n\r\n"]
[3.588642, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate\r\n\r\n\r\n\r\n\r\n"]
[3.589719, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (\r\n\r\n\r\n\r\n\r\n"]
[3.618229, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI\r\n\r\n\r\n\r\n\r\n"]
[3.619615, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD\r\n\r\n\r\n\r\n\r\n"]
[3.661258, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n\r\n"]
[3.691815, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5\r\n\r\n\r\n\r\n\r\n"]
[3.692665, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5.\r\n\r\n\r\n\r\n\r\n"]
[3.693249, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release\r\n\r\n\r\n\r\n\r\n"]
[3.694022, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release,\r\n\r\n\r\n\r\n\r\n"]
[3.729217, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce\r\n\r\n\r\n\r\n\r\n"]
[3.730627, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce,\r\n\r\n\r\n\r\n\r\n"]
[3.73882, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and\r\n\r\n\r\n\r\n\r\n"]
[3.73989, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain\r\n\r\n\r\n\r\n\r\n"]
[3.744066, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the\r\n\r\n\r\n\r\n\r\n"]
[3.74476, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.789179, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.804408, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal:\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.805396, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.824662, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.827179, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.846111, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.847445, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.863196, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.864181, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect,\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.872866, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.874298, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install,\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.897447, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.898453, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.949862, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.950936, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.951576, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.952001, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.956494, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.95719, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.97351, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[3.974471, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.015303, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.016965, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.018194, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.019093, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.028447, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.029679, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n-\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.040643, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.042829, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.068988, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.070356, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.09288, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository:\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.094649, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.098839, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.099824, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.114308, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.115128, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.131904, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.133238, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts;\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.13789, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.138911, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.206857, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.208891, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.214895, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .git\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.216389, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.227017, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.228008, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.249358, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n-\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.250947, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organ\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.269815, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.270809, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.283567, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.284892, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.31235, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.313573, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.317973, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.319509, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.341262, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.343646, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.3463, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.346765, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.378104, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.379136, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.386214, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.387444, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.402328, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.402939, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.439166, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.439509, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use py\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.439771, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.439965, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.473903, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.474896, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout).\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.476138, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.476908, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.487732, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.488803, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.503139, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.504156, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.517059, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.51733, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.543565, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.544531, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.548378, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.548948, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.567552, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.56812, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.58074, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.581506, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.610936, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.611746, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n-\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.612497, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.613056, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.634979, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.635793, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.651007, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.652636, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.657245, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.657773, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.677935, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.678215, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.747274, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.748806, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.773156, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff,\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.77571, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.810196, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black)\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.811324, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.8119, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.812552, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.831348, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.832526, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.840896, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.844098, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.851145, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.851727, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.870332, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints,\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[4.870367, "o", "\r\n"]
[4.871027, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, my\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.891159, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.892415, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.899456, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.900008, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.923775, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.92414, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n-\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.943587, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.943942, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.980044, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[4.981158, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.001656, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.002798, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.011913, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.012879, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.013394, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases.\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.013931, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.037534, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.038964, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.069516, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.070592, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.076408, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.077302, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.08829, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/h\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.089023, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.098272, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.099146, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.112921, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.113715, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.144427, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.145281, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.153379, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/m\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.153914, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.184631, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.186201, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and"]
[5.186539, "o", " project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n-\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.186934, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.204099, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.204651, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.224526, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.226082, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.233885, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.235173, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s)\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r"]
[5.235345, "o", "\r\n"]
[5.244464, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r"]
[5.244639, "o", "\r\n\r\n\r\n"]
[5.245356, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project"]
[5.24543, "o", "\r\n\r\n\r\n\r\n\r\n"]
[5.322015, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the"]
[5.322421, "o", " project\r\n\r\n\r\n\r\n\r\n"]
[5.323457, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintai"]
[5.323547, "o", "n the project\r\n\r\n\r\n\r\n\r\n"]
[5.387004, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce"]
[5.387471, "o", ", and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.388454, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, annou"]
[5.3887, "o", "nce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.44117, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, ann"]
[5.441298, "o", "ounce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.442221, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Relea"]
[5.442246, "o", "se, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.461168, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5."]
[5.46141, "o", " Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.463068, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## "]
[5.463185, "o", "5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.465412, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (py\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n#"]
[5.465676, "o", "# 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.466611, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n"]
[5.466838, "o", "\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.477433, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.tom\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/C"]
[5.477685, "o", "D)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.478467, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/"]
[5.478568, "o", "CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.491316, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate ("]
[5.492041, "o", "CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.493124, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, a"]
[5.493151, "o", "nd automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.510581, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, t"]
[5.510892, "o", "est, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.511708, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package,"]
[5.512079, "o", " test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.527242, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Packag"]
[5.527483, "o", "e, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.528289, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Pack"]
[5.528625, "o", "age, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.545743, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4."]
[5.546144, "o", " Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.546756, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r"]
[5.546828, "o", "\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.561494, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n"]
[5.561819, "o", "\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.562398, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines"]
[5.56252, "o", "\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.577068, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n-\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guideline"]
[5.577339, "o", "s\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.577938, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution gui"]
[5.578001, "o", "delines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.589333, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contributio"]
[5.5895, "o", "n guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.590554, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo,\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contributi"]
[5.591294, "o", "on guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.612016, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contrib"]
[5.612223, "o", "ution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.615645, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and"]
[5.615679, "o", " contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.630839, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation a"]
[5.631294, "o", "nd contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.63215, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n-\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation "]
[5.632977, "o", "and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.640218, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear docume"]
[5.640335, "o", "ntation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.640683, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear"]
[5.64072, "o", " documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.649124, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write cl"]
[5.649831, "o", "ear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.650967, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. "]
[5.651049, "o", "Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.676851, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3"]
[5.677262, "o", ". Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.677975, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n-\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## "]
[5.678027, "o", "3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.686112, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n"]
[5.686242, "o", "\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.687621, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code lint\r\n\r\n## 2. Choose a license and set governance\r"]
[5.687784, "o", "\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.697988, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted\r\n\r\n## 2. Choose a license and set governanc"]
[5.698162, "o", "e\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[5.698289, "o", "\r\n"]
[5.698838, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and\r\n\r\n## 2. Choose a license and set gover"]
[5.698947, "o", "nance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.718817, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed\r\n\r\n## 2. Choose a license and set"]
[5.718976, "o", " governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.720818, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where\r\n\r\n## 2. Choose a license a"]
[5.720906, "o", "nd set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.735595, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n\r\n## 2. Choose a l"]
[5.736406, "o", "icense and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.736897, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n\r\n\r\n## 2. Choose a"]
[5.737879, "o", " license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.754578, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n-\r\n\r\n## 2. Choose "]
[5.754798, "o", "a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.755449, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests\r\n\r\n## 2. C"]
[5.755486, "o", "hoose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.779591, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added\r\n\r\n#"]
[5.779882, "o", "# 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.780789, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for\r"]
[5.780913, "o", "\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.793004, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.793512, "o", "core\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.794505, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.794752, "o", "core features\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[5.794813, "o", "\r\n"]
[5.795322, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.795811, "o", "core features\r\n\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.796427, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.79653, "o", "core features\r\n-\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.816642, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.818182, "o", "core features\r\n- Specify\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.81833, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.818369, "o", "core features\r\n- Specify supported\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.861435, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.861976, "o", "core features\r\n- Specify supported Python\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.863414, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.864527, "o", "core features\r\n- Specify supported Python versions\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.898973, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.89911, "o", "core features\r\n- Specify supported Python versions and\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.902138, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.902518, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.904977, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.905084, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.923051, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.923297, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.923962, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.924227, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.961063, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.961449, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.962132, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.962236, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.962751, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.962862, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.963469, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.964248, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.970715, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.970869, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.971552, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[5.971711, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[5.999958, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.000573, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.001254, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.001582, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.026492, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.027153, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.028088, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.028367, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.028997, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.029481, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.029918, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.030003, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.036322, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.036412, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.037064, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.037375, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.073758, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.074069, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.075082, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.076452, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.07682, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.077078, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.077643, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.077712, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.085532, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.085693, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.08619, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.0865, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.101295, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.101816, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.102322, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.102717, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.116554, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.117126, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n-\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.117572, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.117921, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.131939, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.132275, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.133413, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.133738, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[6.133784, "o", "\r\n"]
[6.148077, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.148319, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license:\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.148931, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.149023, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permiss\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.178211, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.178553, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.179574, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.181475, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.181906, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.182003, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.182397, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.183073, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT,\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.194736, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.194857, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.195579, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.195649, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD,\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.213134, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.213733, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.21428, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.214353, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache \r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.239874, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.240276, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.241007, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.24116, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.275814, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.276927, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.278168, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.278856, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0)\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.279451, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.279577, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.279988, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.280016, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.280497, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.282272, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.282714, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.282842, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.290535, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.290626, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.291343, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.291426, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse;\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.309341, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.309588, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; cop\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.310262, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.310489, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.322412, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.322699, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.323696, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.323886, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.343491, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.345512, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL)\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.346521, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.346638, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.36115, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.361413, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.362094, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.362392, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.373117, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.373302, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.37402, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.374292, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.386686, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.38717, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.387894, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.388208, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.410344, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.411087, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.411666, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.411886, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.467974, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.468351, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.469265, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.47, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n-\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.472167, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.472231, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.473444, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.473533, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.514416, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.514803, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.515714, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.516792, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.521372, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.521625, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.5226, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.523531, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.526399, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.52662, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[6.52672, "o", "\r\n"]
[6.527747, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.527862, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.537784, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.537871, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.538421, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.538697, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.556652, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.556812, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.558198, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.558311, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.571708, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.572337, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.573058, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.573095, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.579669, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.579828, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.580481, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.581088, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n-\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.587731, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.58782, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.588491, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.588675, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.615047, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.615412, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.616604, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.617037, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.631016, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.631324, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.632005, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.632172, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.664182, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.664618, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field)\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.665236, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.666131, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.672347, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.672504, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in py\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.673295, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.673768, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.678734, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.678805, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.tom\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.680173, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.680542, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.692298, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.692486, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.693126, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.693552, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.704496, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.70455, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.705245, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.705528, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.714731, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.714791, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.715325, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.715761, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.742618, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.743355, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.744325, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.744708, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.754603, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.754738, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.756128, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.756274, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.767252, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.767323, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n-\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.76812, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.768321, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.793181, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.793718, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.794516, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.794834, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.803777, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.803858, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.804536, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.805347, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.819078, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.819119, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model:\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.819677, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.820293, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.830677, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.830749, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.83147, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.831729, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.862138, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.862402, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maint\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.863205, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.863849, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.869299, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.869485, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer,\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.870129, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.870774, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.899588, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.899683, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.900889, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.901367, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.913241, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.913474, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.914205, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.91452, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made,\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[6.914568, "o", "\r\n"]
[6.923658, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.923723, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.924206, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.924327, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[6.924347, "o", "\r\n"]
[6.958251, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.95883, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.959428, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.960128, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.960651, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.961299, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[6.961744, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[6.962272, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.021079, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.021384, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes.\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.02277, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.023459, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.024185, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.026867, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.028649, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.029367, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.033537, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.040705, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects,\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKe"]
[7.041065, "o", "y actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license s"]
[7.041456, "o", "o others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.047578, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.047605, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maint\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.04797, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.048231, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[7.048253, "o", "\r\n"]
[7.060406, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.060431, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.060747, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.06101, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[7.061026, "o", "\r\n"]
[7.073973, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.07402, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.074665, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.075023, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.091087, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.091287, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.09288, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.093094, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.110102, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.110243, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR tri\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.110818, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.111284, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.125894, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.126173, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.126939, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.127133, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.153779, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.154004, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.154713, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.156906, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.171693, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.17188, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.172324, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.172753, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n-\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.182491, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.182728, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.183413, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.183925, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.219514, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.219749, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.221021, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.221311, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.222104, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.222797, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CON\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.223258, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.223908, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.253777, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.254233, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.254828, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.255682, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.256314, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.258411, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.258843, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.259339, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g.,\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.26146, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.261536, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.262106, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.263284, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.289167, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.289238, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant)\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.290017, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.29049, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.317755, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.318021, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.318724, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.319516, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the co"]
[7.320944, "o", "debase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify s"]
[7.321529, "o", "upported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project stru"]
[7.322048, "o", "cture\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python version"]
[7.322524, "o", "s and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.32294, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.323705, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[7.324196, "o", "\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added fo"]
[7.324764, "o", "r core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the pro"]
[7.324861, "o", "ject\r\n\r\n\r\n\r\n\r\n"]
[7.338774, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.338904, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the proj"]
[7.339454, "o", "ect\r\n\r\n\r\n\r\n\r\n"]
[7.339962, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.340494, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the pr"]
[7.34057, "o", "oject\r\n\r\n\r\n\r\n\r\n"]
[7.359358, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.359516, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the "]
[7.360078, "o", "project\r\n\r\n\r\n\r\n\r\n"]
[7.360448, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.360759, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain"]
[7.360838, "o", " the project\r\n\r\n\r\n\r\n\r\n"]
[7.391597, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.391811, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, an"]
[7.392668, "o", "d maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.393346, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.393817, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, a"]
[7.393846, "o", "nd maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.395927, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.396024, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce,"]
[7.396435, "o", " and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.396906, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.397341, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n-\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce"]
[7.397399, "o", ", and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.414445, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.414572, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, "]
[7.414945, "o", "announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.415451, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.415868, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Rele"]
[7.4159, "o", "ase, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.423959, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.424079, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n##"]
[7.424691, "o", " 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.425489, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.425689, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n"]
[7.426338, "o", "\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.432376, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.432425, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/"]
[7.432907, "o", "CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.433409, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.433865, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate ("]
[7.433945, "o", "CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.456297, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.456485, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and a"]
[7.457358, "o", "utomate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.457659, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.458016, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and"]
[7.458095, "o", " automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.468149, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.468216, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n-\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, an"]
[7.46865, "o", "d automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.469157, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.469637, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maint\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, te"]
[7.469666, "o", "st, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.490156, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.490422, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Packag"]
[7.490863, "o", "e, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.491218, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.491744, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Packa"]
[7.491827, "o", "ge, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.498303, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.498365, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n##"]
[7.498777, "o", " 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.499267, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.499714, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n"]
[7.499756, "o", "\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.552343, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.552756, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution\r\n\r\n## 3. Write clear documentation and contribution gui"]
[7.553976, "o", "delines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.554818, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.555604, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow\r\n\r\n## 3. Write clear documentation and contributio"]
[7.55567, "o", "n guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.5625, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.562835, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n\r\n## 3. Write clear documentation and "]
[7.563536, "o", "contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.564198, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.564526, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n\r\n\r\n## 3. Write clear documentation an"]
[7.565096, "o", "d contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.586777, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.587056, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n-\r\n\r\n## 3. Write clear documentation a"]
[7.588097, "o", "nd contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.591064, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.591541, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE\r\n\r\n## 3. Write clear documentat"]
[7.591641, "o", "ion and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.60048, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.600604, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF\r\n\r\n## 3. Write clear documen"]
[7.601306, "o", "tation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.601851, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.602315, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CON\r\n\r\n## 3. Write clear doc"]
[7.602364, "o", "umentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.614723, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.614761, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT\r\n\r\n## 3. Write clear"]
[7.614976, "o", " documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.61524, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.615489, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and\r\n\r\n## 3. Write c"]
[7.615516, "o", "lear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.62938, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.629411, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY\r\n\r\n## 3"]
[7.629672, "o", ". Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.629922, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.630004, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.63024, "o", "e\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.670894, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.671895, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.67289, "o", "e added\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.673686, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.674063, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.674568, "o", "e added if\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.687276, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.687441, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.688113, "o", "e added if you\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.688646, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.689408, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.689514, "o", "e added if you want\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.698148, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.69833, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.698953, "o", "e added if you want to\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.699452, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.699934, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.700003, "o", "e added if you want to be\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.712029, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.712145, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.712633, "o", "e added if you want to be inclusive\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.713117, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.713644, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.71368, "o", "e added if you want to be inclusive and\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.719917, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.719979, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.720368, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.728083, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.728153, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.728617, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.729099, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.730886, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.730917, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.758214, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.758397, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.758834, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.759329, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.759363, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.759591, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.769742, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.769962, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.77059, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[7.770716, "o", "\r\n"]
[7.772156, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.772514, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.772552, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.793977, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.79406, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.794481, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.794871, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.795171, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.795226, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.80878, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.809082, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.810132, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.810774, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.810974, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.811456, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.819404, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.819504, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.819736, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.820238, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.820292, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.820728, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.828078, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.828115, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.828424, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.828662, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.828925, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.828947, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.859754, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.859987, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.860922, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.861453, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.864029, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.864551, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network"]
[7.865154, "o", "/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintain"]
[7.865258, "o", "er list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.865468, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.865798, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.866023, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.879334, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.879407, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.879862, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.880297, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.880831, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.8809, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.911516, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.911927, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.912459, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.912761, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.913059, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.913098, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.913362, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.913783, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.914037, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.914355, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.914622, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.914637, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.93451, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.934694, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.935185, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.93564, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.936146, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.936169, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n-\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.95948, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.959582, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.960095, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.96056, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.961238, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.961312, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.963957, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.964027, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.964463, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.96494, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.9655, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.965562, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.978557, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.978588, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.979092, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.980442, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.980958, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.981066, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.997823, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.997923, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.998348, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[7.99882, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[7.999429, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[7.999487, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.007325, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.007376, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.007952, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.008688, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.009384, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.009427, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.024118, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.024163, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.024658, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.025225, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.025762, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.02579, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.045326, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.045409, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.045813, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.046262, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.046874, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.046894, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.060728, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.060896, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.062552, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.063956, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.064503, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.064534, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.081484, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.081677, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.082288, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[8.082397, "o", "\r\n"]
[8.082805, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.084767, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.084875, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.122585, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.123311, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.124799, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.126368, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.127005, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.127085, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.138521, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.138649, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.139309, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.139792, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.140397, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.14042, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install),\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.152767, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.152833, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.153284, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.153745, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.154205, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.154232, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.207646, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.207973, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.209369, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.21009, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.210926, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.211494, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake"]
[8.212606, "o", "8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cf"]
[8.213242, "o", "g so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b"]
[8.213772, "o", "[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core"]
[8.214386, "o", " features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance ad"]
[8.214456, "o", "ded if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.23413, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.234347, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.235159, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.235828, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.235956, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.236447, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.236941, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.237536, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.238094, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.238788, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.239363, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.239436, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.244519, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.244645, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.245382, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.245874, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.246409, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.246863, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.261208, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.261264, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.261692, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.262092, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.262616, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.263029, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.265661, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.265707, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.266099, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.266502, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.266937, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.267327, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n-\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.279906, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.279938, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.280323, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[8.280336, "o", "\r\n"]
[8.280745, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.281272, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.281697, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.309762, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.309994, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.310774, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.311253, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.313495, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.313961, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.329268, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.329319, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.329765, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.330323, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.330894, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.33133, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.35508, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.355141, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.355567, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.356241, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.356955, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.357477, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and m"]
[8.358007, "o", "ove internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing t"]
[8.358584, "o", "he full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to d"]
[8.359179, "o", "ocs and issues.\r\n- Provide more detailed documentation (docs/ or hosted\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a sin"]
[8.360815, "o", "gle place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnera"]
[8.361336, "o", "bility reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.372877, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.372977, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.373509, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs)\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.373983, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.374465, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.374857, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.399661, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.399704, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.400113, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.400554, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.401172, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.401629, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.420069, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.420112, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.420638, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.421145, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.421672, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.422165, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.43952, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.439604, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.440254, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.440693, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.441082, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.44164, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.454478, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.454581, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.454985, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.455379, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.455793, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.456164, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.465357, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.465459, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.465807, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.466519, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.467241, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.467668, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.499923, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.50022, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.500856, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.501205, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.501444, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.501689, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.511364, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.511568, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.512469, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.512908, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.513579, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.514125, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.567432, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.567699, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.568649, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[8.568726, "o", "\r\n"]
[8.569525, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.570351, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.570922, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper packag"]
[8.571554, "o", "e (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broa"]
[8.572163, "o", "d reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the libr"]
[8.572717, "o", "ary does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.573248, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.573823, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.574102, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes.\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.585097, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.585508, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.585959, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.586619, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.587214, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.587687, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools:\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.591758, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.591825, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.592177, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: S\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.592456, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.592825, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.593037, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.616946, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.617198, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.619369, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.620031, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.620342, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.620558, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mk\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.620826, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.621054, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.621312, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.621972, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.622183, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.622192, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.648442, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.648576, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.649141, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[8.649425, "o", "\r\n"]
[8.649717, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.650293, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.65068, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.681668, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.681812, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.682383, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.683105, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.683434, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.683995, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.687343, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.687399, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.688083, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.688733, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.689079, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.689282, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.69853, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.698923, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.699187, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.699719, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.700304, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.700567, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.713235, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.713347, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.713926, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[8.713956, "o", "\r\n"]
[8.714349, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.714635, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.714857, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n-\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.731337, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.731367, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.73164, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.731858, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.732149, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.732344, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.74853, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.748695, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.749547, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUT\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.75004, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.750654, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.751151, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.772219, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.772382, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.773091, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.773492, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.773775, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.773987, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.789658, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.789777, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.79071, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.791571, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.792149, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.792617, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.79856, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.798636, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.799154, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.799622, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.800007, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.800414, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.820761, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.820902, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.821601, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.822073, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.822581, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.822798, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.831242, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.831352, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.832516, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.832538, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.833747, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.833999, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.845811, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.845838, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.846155, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.8464, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.84665, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.847069, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.862001, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.862055, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.862611, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.863146, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.863606, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.864021, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.912739, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.912901, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.913816, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.914486, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.915168, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.923207, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.932563, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.932732, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.9332, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.933985, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.934056, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.934526, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.943294, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.943425, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.943925, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.944366, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.944846, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.945271, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.971335, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.971653, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.972942, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.973717, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.974274, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.975991, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.976435, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.97728, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.977785, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PR\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect"]
[8.978425, "o", ", install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license an"]
[8.979243, "o", "d set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contributi"]
[8.98021, "o", "on guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.987169, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.98721, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.987444, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[8.987698, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[8.987983, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[8.988186, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.010347, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.010429, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.0107, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.01097, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.011235, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.011433, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintain\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.022421, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.022448, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.022736, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.022982, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.023297, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.023504, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.025181, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.025223, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.025487, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.025755, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.026038, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.026239, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.034566, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.034613, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.034814, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.035083, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.035317, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.035515, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.043391, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.043407, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.043666, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.043902, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.044134, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.044352, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n-\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.078797, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.079166, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.079589, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.080063, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.080518, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.080957, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and proje"]
[9.081423, "o", "ct structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python "]
[9.082051, "o", "versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and se"]
[9.082542, "o", "cure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library"]
[9.083197, "o", " easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Cho"]
[9.085075, "o", "ose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentatio"]
[9.085313, "o", "n and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.097412, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.097481, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.097956, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.098387, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.098887, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.099239, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.115969, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.116001, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.116277, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (Git\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.116812, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.116847, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.117079, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.122837, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.122898, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.123297, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/G\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.123758, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.124235, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.124589, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/Git\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.162282, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.162545, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.163647, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.164057, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.164605, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.165004, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab)\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.167806, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.167871, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.16846, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.169086, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.169783, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.170309, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[9.170328, "o", "\r\n"]
[9.181521, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.181656, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.18236, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n"]
[9.1829, "o", "\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests adde"]
[9.183349, "o", "d for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY g"]
[9.183782, "o", "uidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the"]
[9.184206, "o", " project\r\n\r\n\r\n\r\n\r\n"]
[9.20034, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.200417, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.200814, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and mainta"]
[9.201379, "o", "in the project\r\n\r\n\r\n\r\n\r\n"]
[9.201825, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.202221, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.202624, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and mai"]
[9.202675, "o", "ntain the project\r\n\r\n\r\n\r\n\r\n"]
[9.237719, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.237783, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.238228, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, a"]
[9.238631, "o", "nd maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.239112, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.239673, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.240229, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce,"]
[9.240264, "o", " and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.266479, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.266705, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.267113, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release"]
[9.267566, "o", ", announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.267924, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.26836, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.268825, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Releas"]
[9.268965, "o", "e, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.289103, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.289214, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.28994, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r"]
[9.290432, "o", "\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.290812, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.29125, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.291769, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps\r\n\r\n## 4. Package, test, and automate (CI/CD)\r"]
[9.291846, "o", "\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.312824, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.312926, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.313824, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps,\r\n\r\n## 4. Package, test, and automate (CI/CD)"]
[9.314297, "o", "\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is"]
[9.314666, "o", " correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and c"]
[9.315133, "o", "ontribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environmen"]
[9.315593, "o", "t, reproduction steps, expected\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.33047, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.330536, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.33094, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs\r\n\r\n## 4. Package, test, and auto"]
[9.33141, "o", "mate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.331757, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.332226, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.332671, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual\r\n\r\n## 4. Package, test, a"]
[9.332693, "o", "nd automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.352344, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.352383, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.352856, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior\r\n\r\n## 4. Package"]
[9.354291, "o", ", test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.355876, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.356322, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.356794, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n\r\n## 4. Packa"]
[9.356823, "o", "ge, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.388838, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.388887, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.389333, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n\r\n\r\n## 4. Pac"]
[9.38978, "o", "kage, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.39014, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.390548, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.391, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n-\r\n\r\n## 4. Pa"]
[9.391041, "o", "ckage, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.393452, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.393493, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.393885, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include\r\n\r\n"]
[9.394364, "o", "## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.394702, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.395151, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.396399, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.39644, "o", "NGE\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.403861, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.4039, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.404288, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.404707, "o", "NGELOG\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.405031, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.40544, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.405938, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.405954, "o", "NGELOG.md\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.416945, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.416999, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.418035, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.418689, "o", "NGELOG.md or\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick "]
[9.419142, "o", "checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file prese"]
[9.419707, "o", "nt and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitL"]
[9.420197, "o", "ab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.429142, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.42925, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.42974, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.430224, "o", "NGELOG.md or use a\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.430572, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.430946, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.431378, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.431405, "o", "NGELOG.md or use a chang\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.465095, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.46523, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.465672, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.466105, "o", "NGELOG.md or use a changelog\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.466465, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.466897, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.467371, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.467423, "o", "NGELOG.md or use a changelog strategy\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.469554, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.469661, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.47002, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.470439, "o", "NGELOG.md or use a changelog strategy (\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.470776, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.471216, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.471732, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.471762, "o", "NGELOG.md or use a changelog strategy (Keep\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.474363, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.474409, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.474857, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.475284, "o", "NGELOG.md or use a changelog strategy (Keep a\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.475576, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.475951, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.476402, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.476437, "o", "NGELOG.md or use a changelog strategy (Keep a Ch\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.479851, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.479888, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.480261, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.480653, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.480927, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.481344, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.481748, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.481762, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog,\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.4876, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.487635, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.488229, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.488785, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single pl"]
[9.489248, "o", "ace (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability"]
[9.489812, "o", " reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will rev"]
[9.490342, "o", "iew/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.502749, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.5028, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.503242, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.50373, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release)\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.50404, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.504419, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.504822, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.50486, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.518278, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.518309, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.518688, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.519091, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.520867, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.521233, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.521748, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.521807, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.539188, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.539279, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.539606, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.540019, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.540316, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.5407, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.541702, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.541723, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.565932, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.565969, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.566313, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.566705, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.566993, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.567346, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.56778, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.56785, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.579633, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.579682, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.580043, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.580398, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.580698, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.581061, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.581515, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.581567, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.598603, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.598651, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.599028, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.599406, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.599702, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.600079, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.600444, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.600481, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.619095, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.61916, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.619545, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.619965, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.620309, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.620781, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.621211, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.621265, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.632718, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.632767, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.633204, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.633624, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.633979, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.634491, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.634927, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.634969, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.643948, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.643979, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.64446, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.645754, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n-\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- D"]
[9.646042, "o", "ecide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a COD"]
[9.646456, "o", "E_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run"]
[9.646861, "o", " tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.659371, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.659416, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.659807, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.660267, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.660641, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.661107, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.661523, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.661559, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.674826, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.674857, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.675522, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.676067, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them b"]
[9.67649, "o", "ehind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is"]
[9.677121, "o", " enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set"]
[9.677659, "o", " up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.693147, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.693211, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.693601, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.694011, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n-\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.694347, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.694803, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.695179, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.695218, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.704016, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.704052, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.704418, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.704798, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.705125, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.705556, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.705975, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.70601, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.729847, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.729924, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.7303, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.7307, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.731021, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.731418, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.731865, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.73192, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.749513, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.749562, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.750669, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.751259, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/har"]
[9.751696, "o", "dware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer l"]
[9.752335, "o", "ist and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONT"]
[9.752807, "o", "RIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n-\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.782806, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.782849, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.783228, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.783604, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUT\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.783902, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.784454, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.784894, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.784929, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.795057, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.795099, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.795486, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.79591, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.796252, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.796693, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.797057, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.797071, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.818601, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.818676, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.819079, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.819507, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.819875, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.820382, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.820832, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.82088, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.833578, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.833632, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.833998, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.834517, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.834835, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.835301, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.83571, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.835771, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.855571, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.855669, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.856051, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.856487, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.85685, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.857349, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.857801, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.857831, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n-\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.870208, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.870273, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.870707, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.87113, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGE\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.871447, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.872059, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.872493, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.872516, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.888114, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.888146, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.888385, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.888599, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.888763, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.889061, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.889275, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.889286, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.902588, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.902666, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.903061, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.903495, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.903899, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.904424, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.904807, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.904886, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.921754, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.921861, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.922274, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.922778, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.951483, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.951557, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.95225, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.952736, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.953101, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.953654, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.954105, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.954179, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.954508, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.955099, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.95542, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.955804, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.957028, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.959397, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.959819, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.959864, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.972347, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.972383, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.972802, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.973362, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.973737, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.97434, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.974833, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.974868, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[9.980054, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[9.980101, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[9.980403, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[9.980715, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (ty"]
[9.980886, "o", "pe hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a si"]
[9.981231, "o", "mple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference,"]
[9.981611, "o", " examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.013938, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.014045, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.014414, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.014656, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.014857, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.015158, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.015518, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.015526, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.038292, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.038352, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.03858, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.038956, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.039186, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.03953, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.039839, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.040108, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is"]
[10.040508, "o", " reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices "]
[10.040754, "o", "display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, con"]
[10.04105, "o", "figuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.041247, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.041633, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.041969, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.042033, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.056564, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.056683, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.057216, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.057477, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintain\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ru"]
[10.057652, "o", "ff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so"]
[10.057962, "o", " package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installa"]
[10.05818, "o", "tion options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.066369, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.066438, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.066919, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.067375, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.067751, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.068271, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.068658, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.068714, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.091167, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.09126, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.091634, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.092101, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.092445, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.093052, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.093462, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.093917, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.107873, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.107903, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.108159, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.108649, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.109106, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.109737, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.110269, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.110841, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.133611, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.133839, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.134807, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.135889, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.136142, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.136879, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.137492, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.137941, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.148669, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.148843, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.149287, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.150606, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.150993, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.151519, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.1519, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.152281, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.171288, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.171357, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.171821, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.172273, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n-\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.172637, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.173277, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.173712, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.174117, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.179359, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.179423, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.179764, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.180175, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.180466, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.181032, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.181459, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.182886, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.187122, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.187178, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.187584, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.187998, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging:\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.188292, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.188807, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.189148, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.189527, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.194737, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.194789, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.195149, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.195524, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.195825, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.196318, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.196718, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.197085, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.288501, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.288639, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.289706, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.29051, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.291096, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.292236, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.293126, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.293778, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.350884, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.351145, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.352574, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.353768, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.354377, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.355303, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.355932, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.356559, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in py\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.366339, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.367124, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.367621, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.369005, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.369394, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.370541, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.371003, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.371481, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.tom\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.377899, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.377962, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.378352, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.378802, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.379122, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.379627, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.380013, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.380406, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.39128, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.391362, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.391825, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.392229, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PE\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.392526, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.39302, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.393431, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.39408, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.406891, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.40694, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.407314, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.40829, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP \r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.408734, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.409307, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.409746, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.411142, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.427819, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.42794, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.428419, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.428686, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Ke"]
[10.428876, "o", "ep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENS"]
[10.429198, "o", "E file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example s"]
[10.429496, "o", "howing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and"]
[10.429797, "o", " make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.450087, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.450147, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.450808, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.451423, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518).\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout"]
[10.451848, "o", "). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a L"]
[10.452467, "o", "ICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short exam"]
[10.452946, "o", "ple showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliabilit"]
[10.453519, "o", "y and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.464468, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.464524, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.464984, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.465448, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.465772, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.466323, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.466698, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.467112, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.482357, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.482397, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.48275, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.483123, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.483462, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.483964, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.484333, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.484756, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.495936, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.495999, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.496345, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.496715, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.497028, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.497562, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.497918, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.498336, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.514453, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.514485, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.514839, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.515226, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-tr\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.51552, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.515993, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.516592, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.517127, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.529706, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.529752, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.530141, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.530559, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.530859, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.531407, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.53176, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.532171, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.580497, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.580536, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.580976, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.581399, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.581744, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.582332, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.582712, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.583285, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g.,\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.58379, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.58441, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.584954, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.585475, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.589704, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.589757, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.590144, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.59055, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.605424, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.60548, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.605929, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.6064, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.607584, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.60822, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.608573, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.608941, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.625656, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.625747, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.626273, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.626729, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.627063, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.627626, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.628041, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.62849, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.639589, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.639646, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.640052, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.640483, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.64106, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.64115, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.641506, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.64187, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.658649, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.658737, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.660088, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.660518, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_s\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.660828, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.661295, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.661643, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.66204, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.66523, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.665281, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.665677, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.666071, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.666358, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.667001, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.667347, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.667847, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.688281, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.688312, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.688717, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.689105, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n-\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.689409, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.689955, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.690332, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.690753, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.69692, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.696952, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.69732, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.697707, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build s\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.697999, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.698554, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.698896, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.699303, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.708615, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.708647, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.70891, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.709189, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.709391, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.709717, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.709923, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.710141, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.723029, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.723078, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.723308, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.723536, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.723926, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.724621, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.725095, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.725638, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts.\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.747813, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.747927, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.748624, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.749113, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.749869, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.749997, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.750425, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.750869, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.778583, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.77863, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.779085, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.779561, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.780718, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.781227, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.781579, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.781912, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.814017, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.814078, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.814479, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.814902, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.815223, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.815758, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.816123, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.81659, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.816964, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.817445, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.817863, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.818272, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.818704, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.819138, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.819562, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.819972, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.829716, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.829816, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.83028, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.830732, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.831055, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.831686, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.832045, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.832668, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.834949, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.834997, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.835385, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.835789, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.836142, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.836681, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.837014, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.837391, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n-\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.853087, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.85315, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.853478, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.85384, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.854122, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.854651, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.854967, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.855342, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.874364, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.874429, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.874795, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.875175, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.875521, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.876117, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.87647, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.876854, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.909947, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.910018, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.910414, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.910855, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.911205, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.911806, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.912226, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.912659, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.93356, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.933827, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.934352, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.934795, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.935198, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.935757, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.936153, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.936582, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.956641, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.956771, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.957231, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.957686, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.958042, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.958817, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.959291, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.959806, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (Git\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.965312, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.96536, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.965758, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.966134, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.966446, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.966957, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.967377, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.967886, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.97843, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.978482, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.978862, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.979311, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions,\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[10.979613, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[10.980311, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[10.9807, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[10.98109, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, Git\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.002134, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.002217, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.002561, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.002958, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.003237, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.003747, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.004124, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.004498, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.015515, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.015546, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.015896, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.01627, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI,\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.01658, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.017055, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.017409, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.01782, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.031548, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.031598, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.032069, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.032495, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.).\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.032814, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.033379, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.033732, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.03411, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.047968, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.048013, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.048447, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.048836, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.049468, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.049604, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.050003, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.050395, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.059789, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.059833, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.060171, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.060579, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.060879, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.061393, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.061738, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.062126, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.085842, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.085909, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.086292, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.08671, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.087036, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.087591, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.087964, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.088394, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.095873, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.095941, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.096318, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.096707, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.097039, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.097665, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.098015, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.098412, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms,\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.119457, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.119531, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.119909, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.120348, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.120684, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.121294, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.121708, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.122095, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run lin\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.132217, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.132269, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.132684, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.133119, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.133473, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.135345, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.135698, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.13604, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.138886, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.138924, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.139276, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.139645, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.139934, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.140415, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.140778, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.14111, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.164877, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.164931, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.165299, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.165688, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks,\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.165984, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.166465, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.166819, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.167196, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.198717, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.198803, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.199106, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.199354, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.199625, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.200172, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.20055, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.201096, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.209629, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.209656, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.209909, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.210151, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n"]
[11.210356, "o", "\r\n"]
[11.210644, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.210847, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.21109, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.211267, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis\r\n\r\n## 5. Release, announce, and maintain the projec"]
[11.211274, "o", "t\r\n\r\n\r\n\r\n\r\n"]
[11.219217, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.219273, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.219675, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.220098, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if\r\n\r\n## 5. Release, announce, and maintain the pro"]
[11.220434, "o", "ject\r\n\r\n\r\n\r\n\r\n"]
[11.220942, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.221499, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.222065, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.222542, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible\r\n\r\n## 5. Release, announce, and maintai"]
[11.222597, "o", "n the project\r\n\r\n\r\n\r\n\r\n"]
[11.228226, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.228309, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.228805, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.229123, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n\r\n## 5. Release, announce, and mainta"]
[11.229307, "o", "in the project\r\n\r\n\r\n\r\n\r\n"]
[11.229917, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.230491, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.231006, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.231394, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n\r\n\r\n## 5. Release, announce, and main"]
[11.231408, "o", "tain the project\r\n\r\n\r\n\r\n\r\n"]
[11.247105, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.247168, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.247701, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.248221, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n-\r\n\r\n## 5. Release, announce, and mai"]
[11.248562, "o", "ntain the project\r\n\r\n\r\n\r\n\r\n"]
[11.24902, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.249418, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.249804, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.250099, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Autom\r\n\r\n## 5. Release, announce, a"]
[11.250163, "o", "nd maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.260024, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.260056, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.26048, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.260961, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate\r\n\r\n## 5. Release, announce"]
[11.261334, "o", ", and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.261842, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.262242, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.26263, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.262918, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style\r\n\r\n## 5. Release, an"]
[11.262948, "o", "nounce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.279748, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.2798, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.280229, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.280763, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks\r\n\r\n## 5. Rele"]
[11.281078, "o", "ase, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.282423, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.282837, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.283276, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.283586, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and\r\n\r\n## 5. "]
[11.283623, "o", "Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.297299, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.297345, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.297771, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.298161, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre\r\n\r\n##"]
[11.298454, "o", " 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.298866, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.29923, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.299677, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.300007, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-\r\n\r\n#"]
[11.300047, "o", "# 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.311141, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.311183, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.311519, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.31188, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.312172, "o", "t\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.312557, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.312931, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.313325, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.313621, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.313633, "o", "t hooks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.333641, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.333697, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.334137, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.334778, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.335203, "o", "t hooks to\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package lay"]
[11.335801, "o", "out is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership"]
[11.336351, "o", " and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (envi"]
[11.336928, "o", "ronment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run sec"]
[11.337354, "o", "urity/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.347304, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.347366, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.34775, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.348124, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.348415, "o", "t hooks to keep commits\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.348823, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.349205, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.349635, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.349958, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.349985, "o", "t hooks to keep commits consistent\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.360193, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.360242, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.360609, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.361199, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.362616, "o", "t hooks to keep commits consistent (\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo,"]
[11.363045, "o", " no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metada"]
[11.363448, "o", "ta\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right "]
[11.363904, "o", "information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters an"]
[11.36422, "o", "d type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.386336, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.386373, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.386738, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.387108, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.387356, "o", "t hooks to keep commits consistent (pre-\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.387673, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.387979, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.388341, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.388689, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.388728, "o", "t hooks to keep commits consistent (pre-commit\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.41111, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.411139, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.411536, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.411899, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.412238, "o", "t hooks to keep commits consistent (pre-commit framework\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.412639, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.412848, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.413098, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.413299, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.41331, "o", "t hooks to keep commits consistent (pre-commit framework).\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.428115, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.428314, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.429102, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.429581, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.429915, "o", "t hooks to keep commits consistent (pre-commit framework). Consider\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.430417, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.430917, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.431585, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.431944, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.432047, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.432339, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.432639, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.433066, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.433591, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.43394, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements "]
[11.434196, "o", "files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- L"]
[11.434554, "o", "ICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templ"]
[11.434953, "o", "ates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Pyt"]
[11.434976, "o", "hon versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Depend\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.488641, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.488766, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.489293, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.489716, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.490001, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.490422, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.490768, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.491212, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.49159, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.491633, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.501875, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.501925, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.502442, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.502868, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.503185, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.503652, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.504058, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.504573, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.505121, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.5052, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.530646, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.530677, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.531097, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.531502, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.531807, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.532246, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.532606, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.533042, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.533387, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.533422, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.538887, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.538917, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.539331, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.539753, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.540064, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.540477, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.540819, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.541205, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.541568, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.541605, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.554627, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.55466, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.555062, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.555423, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.555709, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n-\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.556104, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.556463, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.556845, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.557183, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.557215, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.567366, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.567398, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.567783, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.568453, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.568886, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test "]
[11.570992, "o", "dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY."]
[11.571361, "o", "md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, a"]
[11.57176, "o", "nd how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (G"]
[11.572127, "o", "itHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.599594, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.599657, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.600051, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.600422, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.600716, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata:\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.601235, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.601754, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.602314, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.602856, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.602894, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.609677, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.60971, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.610092, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.610515, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.610838, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description,\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.611271, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.611735, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.612694, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.613077, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.613129, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.626734, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.626789, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.627141, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.627532, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.627813, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.628206, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.628574, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.628962, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.629368, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.629382, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description,\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.648219, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.648292, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.64873, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.649984, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.650274, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide o"]
[11.65067, "o", "n minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CO"]
[11.651009, "o", "NDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests,"]
[11.651554, "o", " coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environmen"]
[11.65206, "o", "t.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords,\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.65898, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.659076, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.659539, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.659958, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.660264, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.660671, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.661006, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.66139, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.661765, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.661798, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.66979, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.669873, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.670348, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.67091, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.67137, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtur"]
[11.671959, "o", "es/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- "]
[11.672413, "o", "Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev en"]
[11.673039, "o", "vironment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts "]
[11.674491, "o", "in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.690677, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.690714, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.691137, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.691548, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.691854, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions,\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.69229, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.692666, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.693046, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.693466, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.693513, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.700109, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.700156, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.700507, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.700887, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.70122, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses),\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.701779, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.702237, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.702739, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.703257, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.703279, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.718037, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.718109, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.718448, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.718944, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.71929, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.719658, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.719961, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.720315, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.720664, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.7207, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.73246, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.7325, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.732808, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.733161, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.733418, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.733775, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.734097, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.734584, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.735103, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.735117, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation,\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.746665, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.746711, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.747065, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.747444, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.747719, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.748124, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.74844, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.748769, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.749133, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.749166, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.764446, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.764468, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.764876, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.765237, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.765505, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker,\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.76587, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.766163, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.766508, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.76683, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.766861, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.789596, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.789647, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.790015, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.79035, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.79061, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.791521, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.791819, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.792202, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.792542, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.79258, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.807784, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.807814, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.808162, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.808536, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.808799, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n-\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.809204, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.809522, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.809855, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.810179, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.81021, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.835495, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.835572, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.835929, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.836315, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.836585, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.836985, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.837336, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.83767, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.838014, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.838048, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.842333, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.842373, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.842716, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.843105, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.843396, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.843864, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.844447, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.844922, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.845362, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.845417, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.865923, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.865973, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.866419, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.866824, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.867139, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions,\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.867539, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.868091, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.868581, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.869074, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.869109, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.874012, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.87404, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.8744, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.874737, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.875016, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.87558, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.875988, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.876373, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.876839, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.87687, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.879749, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.879794, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.880134, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.880508, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.880806, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.882409, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.88276, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.883118, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.883478, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.883545, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.911336, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.911399, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.911864, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.912385, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.912638, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add"]
[11.912931, "o", " tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a main"]
[11.91324, "o", "tainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for b"]
[11.913575, "o", "reaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a s"]
[11.913866, "o", "ingle source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.915605, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.915624, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.916179, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.916588, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.916895, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.917205, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.917629, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.918171, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.918588, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.918737, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.940666, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.940826, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.941364, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.941683, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.942132, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.942448, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.943194, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.943405, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.943608, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.943616, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.957651, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.957711, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.957931, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.958157, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.958344, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.958841, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.959248, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.9597, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.960128, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.96015, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.983517, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.983615, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.983968, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.984277, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.985162, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.985561, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.985877, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.986265, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.98666, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.986671, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.987051, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.987347, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.987626, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.988048, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.988249, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[11.988605, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[11.988916, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[11.98924, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[11.989518, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[11.989559, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.018315, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.01846, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.018977, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.019371, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.019711, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n-\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.020129, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.020524, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.020861, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.021245, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.021269, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- py\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.05469, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.054747, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.055163, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.055621, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.05594, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and"]
[12.056377, "o", " is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indic"]
[12.056815, "o", "es display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, "]
[12.057192, "o", "configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and"]
[12.057575, "o", " metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.tom\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.057989, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.058341, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.058644, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.058884, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.059129, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.059504, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.059904, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.060309, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.060696, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.060745, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml +\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.073027, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.073063, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.073429, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.073784, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.074064, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.074443, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.074842, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.075329, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.075842, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.075854, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.092946, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.093007, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.093492, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.093912, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.094217, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source version\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.094645, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.095048, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.095424, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.095813, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.096225, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.116634, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.116664, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.117019, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.118278, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.118564, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consist"]
[12.118963, "o", "ent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject."]
[12.119356, "o", "toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) "]
[12.119743, "o", "that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern pa"]
[12.12007, "o", "ckaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n-\r\n\r\n## 5. Release, announce, and maintain "]
[12.12038, "o", "the project\r\n\r\n\r\n\r\n\r\n"]
[12.122362, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.122398, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.122726, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.123058, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.123293, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.123673, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.124023, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.124319, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.124643, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.125008, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.14469, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.144744, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.145058, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.145399, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.145644, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.146974, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.146999, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.147274, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.147614, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.147852, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.161292, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.161354, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.161792, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.162103, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.162379, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.162739, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.163082, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.163445, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.163835, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.164149, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.174765, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.174803, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.175142, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.175562, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.175856, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.176232, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.176586, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.176941, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.177304, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.177594, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.183936, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.183979, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.184293, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.184735, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.185162, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.185705, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.18625, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.186756, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.187253, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.187758, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n-\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.205493, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.205541, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.205881, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.206244, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.206512, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.206909, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.207294, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.207642, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.207963, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.208273, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.219334, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.21938, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.219747, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.220116, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.220392, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.220759, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.221123, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.221413, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.221746, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.222057, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.229535, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.229581, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.229898, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.230216, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.230484, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.23084, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.231202, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.23232, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.232654, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.232971, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.255175, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.255218, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.255551, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.256945, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.257185, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n-\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and"]
[12.257528, "o", " move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing"]
[12.257904, "o", " the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to"]
[12.258238, "o", " docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install"]
[12.25856, "o", " and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproj"]
[12.258927, "o", "ect.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.270407, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.270456, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.270784, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.271137, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.271403, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.271748, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.272136, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.27246, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.272785, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.273118, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.283829, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.283861, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.284224, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.2846, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.284988, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.285582, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.286174, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.286639, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.287157, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.287649, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.301878, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.301951, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.302306, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.302665, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.302939, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.30336, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.303762, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.304099, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.304431, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.304769, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\n\r\n\r\n\r\n"]
[12.32181, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.321839, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.322199, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.322536, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.322792, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking\r\n\r\n\r\n"]
[12.340141, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.340227, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.340501, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.340829, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.341117, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a\r\n\r\n\r\n"]
[12.341503, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.341927, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.342284, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.342632, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.342983, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful\r\n\r\n\r\n"]
[12.351575, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.351619, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.351943, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.352258, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.352524, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open\r\n\r\n\r\n"]
[12.352878, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.35327, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.353564, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.353935, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.35425, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source\r\n\r\n\r\n"]
[12.371195, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.37124, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.371574, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.371914, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.372194, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project\r\n\r\n\r\n"]
[12.37255, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.372983, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.373302, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.373648, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.373969, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is\r\n\r\n\r\n"]
[12.409925, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.409991, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.410377, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.411465, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.411739, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory wi"]
[12.41212, "o", "th __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you requ"]
[12.412563, "o", "ire derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick inst"]
[12.412926, "o", "all instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\n"]
[12.413288, "o", "Packaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels f"]
[12.413649, "o", "or relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people\r\n\r\n\r\n"]
[12.413898, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.414317, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.41468, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.415035, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.415435, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as\r\n\r\n\r\n"]
[12.415786, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.416105, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.416443, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.41671, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.416731, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much\r\n\r\n\r\n"]
[12.428972, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.429053, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.429366, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.429655, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.42998, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as\r\n\r\n\r\n"]
[12.430327, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.43075, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.431089, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.431492, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.431783, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code\r\n\r\n\r\n"]
[12.436551, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.436589, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.436899, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.437217, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.437461, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code:\r\n\r\n\r\n"]
[12.437797, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.438259, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.438543, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.438861, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.439097, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release\r\n\r\n\r\n"]
[12.453492, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.453573, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.453987, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.454363, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.454626, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably\r\n\r\n\r\n"]
[12.455011, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.455434, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.455764, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.456142, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.456455, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably,\r\n\r\n\r\n"]
[12.475679, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.475722, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.476124, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.476501, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.476785, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be\r\n\r\n\r\n"]
[12.477146, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.477572, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.477871, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.478248, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.478544, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming\r\n\r\n\r\n"]
[12.482553, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.482596, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.482946, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.483944, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.484194, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming,\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code"]
[12.484602, "o", " into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache "]
[12.485004, "o", "2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that e"]
[12.485315, "o", "xplains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes p"]
[12.485716, "o", "ractice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, sourc"]
[12.485991, "o", "e).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and\r\n\r\n\r\n"]
[12.497576, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.497602, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.497827, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.498041, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.498233, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage\r\n\r\n\r\n"]
[12.498468, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.4988, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.499027, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.499278, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.499485, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions\r\n\r\n\r\n"]
[12.516758, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.516789, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.517167, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.517648, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.518798, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .g"]
[12.519145, "o", "itignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: per"]
[12.519536, "o", "missive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Crea"]
[12.519862, "o", "te a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CH"]
[12.520196, "o", "ANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documenta"]
[12.520458, "o", "tion, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\n\r\n\r\n"]
[12.524875, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.524918, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.525233, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.526872, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.527127, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensibl"]
[12.527499, "o", "e .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license:"]
[12.527931, "o", " permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- "]
[12.52827, "o", "Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n"]
[12.528667, "o", "- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (docum"]
[12.528994, "o", "entation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey\r\n\r\n\r\n"]
[12.577092, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.577156, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.577511, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.577922, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.578247, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions\r\n\r\n\r\n"]
[12.578635, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.579108, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.579496, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.579839, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.580139, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n\r\n\r\n"]
[12.596822, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.596954, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.597403, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.597802, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.598093, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n\r\n\r\n\r\n"]
[12.598542, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.598967, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.599285, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.599611, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.599905, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n-\r\n\r\n\r\n"]
[12.612264, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.612322, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.612655, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.61303, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.613319, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose\r\n\r\n\r\n"]
[12.613689, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.614189, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.614593, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.614905, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.615218, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a\r\n\r\n\r\n"]
[12.626554, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.626603, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.626956, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.627322, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.627586, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release\r\n\r\n\r\n"]
[12.62794, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.628388, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.628669, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.62901, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.629326, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence\r\n\r\n\r\n"]
[12.655906, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.65597, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.656286, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.656722, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.65706, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and\r\n\r\n\r\n"]
[12.65753, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.658067, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.658509, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.658982, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.659352, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic\r\n\r\n\r\n"]
[12.676527, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.67658, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.676944, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.677297, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.677576, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic version\r\n\r\n\r\n"]
[12.677969, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.678446, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.678728, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.67909, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.67941, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning\r\n\r\n\r\n"]
[12.688202, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.688241, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.688575, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.688916, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.68916, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning.\r\n\r\n\r\n"]
[12.689518, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.689953, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.690216, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.690533, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.690804, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag\r\n\r\n\r\n"]
[12.691652, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.692915, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.693228, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.69353, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.693788, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases\r\n\r\n\r\n"]
[12.694106, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.694505, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.694767, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.69515, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.695397, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in\r\n\r\n\r\n"]
[12.711623, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.711648, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.711975, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.712319, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.712568, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git\r\n\r\n\r\n"]
[12.713968, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.714335, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.71458, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.714879, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.715128, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and\r\n\r\n\r\n"]
[12.722193, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.722228, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.72254, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.722858, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.723103, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push\r\n\r\n\r\n"]
[12.723432, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.723798, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.724178, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.724604, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.724964, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release\r\n\r\n\r\n"]
[12.754135, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.754192, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.754519, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.754882, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.755155, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts\r\n\r\n\r\n"]
[12.755494, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.75591, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.756216, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.756561, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.756818, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to\r\n\r\n\r\n"]
[12.78397, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.784035, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.784273, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.784664, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.784963, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to Py\r\n\r\n\r\n"]
[12.78534, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.785821, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.786151, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.786512, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.786768, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI\r\n\r\n\r\n"]
[12.822202, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.822244, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.82263, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.823058, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.823363, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (\r\n\r\n\r\n"]
[12.82379, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.824259, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.824648, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.82507, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.825339, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use\r\n\r\n\r\n"]
[12.851278, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.851352, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.851766, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.852139, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.852435, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use tw\r\n\r\n\r\n"]
[12.852847, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.853302, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.853659, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.854954, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.855188, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so othe"]
[12.8556, "o", "rs can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose"]
[12.856033, "o", " an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood docu"]
[12.856397, "o", "mentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between relea"]
[12.856755, "o", "ses.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency update"]
[12.85707, "o", "s.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or\r\n\r\n\r\n"]
[12.857393, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.857915, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.858665, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.859088, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.859421, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or Git\r\n\r\n\r\n"]
[12.988315, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.988729, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.989721, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.990593, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.991194, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub\r\n\r\n\r\n"]
[12.991803, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.992857, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.993604, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.99473, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.994941, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions\r\n\r\n\r\n"]
[12.995559, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.996296, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.996812, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.997684, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[12.997741, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to\r\n\r\n\r\n"]
[12.998289, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[12.998983, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[12.999394, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[12.999809, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.000124, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate\r\n\r\n\r\n"]
[13.009361, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.00945, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.009853, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.010342, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.010687, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing\r\n\r\n\r\n"]
[13.011103, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.011634, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.012129, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.012523, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.013143, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when\r\n\r\n\r\n"]
[13.019267, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.019309, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.019724, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.020136, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.020451, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you\r\n\r\n\r\n"]
[13.020863, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.021329, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.021687, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.022176, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.022462, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag\r\n\r\n\r\n"]
[13.030163, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.030202, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.030407, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.030744, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.03104, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: ma"]
[13.031299, "o", "ke the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencie"]
[13.031569, "o", "s\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clea"]
[13.031759, "o", "r documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-"]
[13.031984, "o", "release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Conside"]
[13.032138, "o", "r filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release\r\n\r\n\r\n"]
[13.040538, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.040579, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.040846, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.041096, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.041296, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n\r\n\r\n"]
[13.041556, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.041808, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.042032, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.042257, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.042419, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n\r\n\r\n\r\n"]
[13.047262, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.047305, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.048252, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.048611, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.049647, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n-\r\n\r\n\r\n"]
[13.049985, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.05044, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.050744, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.051137, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.051358, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Ann\r\n\r\n\r\n"]
[13.053821, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.053849, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.054206, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.054568, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.05483, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce\r\n\r\n\r\n"]
[13.05518, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.055566, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.056114, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.056525, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.056893, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases\r\n\r\n\r\n"]
[13.060202, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.060239, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.060536, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.060851, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.061134, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with\r\n\r\n\r\n"]
[13.061496, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.061915, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.062227, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.062534, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.062786, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a\r\n\r\n\r\n"]
[13.070367, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.0704, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.070698, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.071036, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.071278, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear\r\n\r\n\r\n"]
[13.071664, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.072065, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.072356, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.072682, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.072969, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear chang\r\n\r\n\r\n"]
[13.085082, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.085111, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.085439, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.085748, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.086009, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog\r\n\r\n\r\n"]
[13.086384, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.086793, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.087087, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.087474, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.087738, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry\r\n\r\n\r\n"]
[13.103841, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.103892, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.104199, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.104573, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.104816, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and\r\n\r\n\r\n"]
[13.10517, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.105561, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.105891, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.106274, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.106564, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.106921, "o", "on\r\n\r\n\r\n"]
[13.108267, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.108318, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.108686, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.109207, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.109583, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.11127, "o", "on notes\r\n\r\n\r\n"]
[13.111632, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.111945, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.112268, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.11252, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.112882, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.112892, "o", "on notes for\r\n\r\n\r\n"]
[13.120792, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.120818, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.121017, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.121263, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.121458, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.121698, "o", "on notes for breaking\r\n\r\n\r\n"]
[13.121979, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.122301, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.122638, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.122874, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.123963, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.123973, "o", "on notes for breaking changes\r\n\r\n\r\n"]
[13.129125, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.129147, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.129406, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.129642, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.130384, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.130631, "o", "on notes for breaking changes.\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typ"]
[13.130851, "o", "ed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- "]
[13.131072, "o", "CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected"]
[13.131366, "o", " vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n-"]
[13.131526, "o", " Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with"]
[13.131817, "o", " a clear changelog entry and migration notes for breaking changes. Share\r\n\r\n\r\n"]
[13.151959, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.151995, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.152276, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.152506, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.152685, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.152978, "o", "on notes for breaking changes. Share via\r\n\r\n\r\n"]
[13.153244, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.15348, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.153701, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.153925, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.154146, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.154154, "o", "on notes for breaking changes. Share via social\r\n\r\n\r\n"]
[13.174603, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.174647, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.174997, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.175409, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.175712, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.176095, "o", "on notes for breaking changes. Share via social channels\r\n\r\n\r\n"]
[13.176484, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.176808, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.177146, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.177415, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.177744, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.177818, "o", "on notes for breaking changes. Share via social channels,\r\n\r\n\r\n"]
[13.178113, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.178385, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.178822, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.179114, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.179428, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.179486, "o", "on notes for breaking changes. Share via social channels, mailing\r\n\r\n\r\n"]
[13.17978, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.180052, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.180388, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.18069, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.181038, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.181049, "o", "on notes for breaking changes. Share via social channels, mailing lists\r\n\r\n\r\n"]
[13.193217, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.193253, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.193558, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.19389, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.194171, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.19455, "o", "on notes for breaking changes. Share via social channels, mailing lists,\r\n\r\n\r\n"]
[13.194912, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.195233, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.195614, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.195883, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.196279, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.196327, "o", "on notes for breaking changes. Share via social channels, mailing lists, or\r\n\r\n\r\n"]
[13.201734, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.201761, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.202015, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.202351, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.202528, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.202789, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community\r\n\r\n\r\n"]
[13.203047, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.203241, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.20349, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.203661, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.203895, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.203934, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums\r\n\r\n\r\n"]
[13.204121, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.204305, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.204523, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.204736, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.204993, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.205001, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n\r\n\r\n"]
[13.205214, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.205389, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.205627, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.205873, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.206116, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.206124, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n\r\n\r\n\r\n"]
[13.229702, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.229745, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.230067, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.230406, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.230656, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.231019, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n-\r\n\r\n\r\n"]
[13.232187, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.233646, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.234028, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.23427, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.234903, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.234914, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- T\r\n\r\n\r\n"]
[13.238395, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.238438, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.238784, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.239121, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.239412, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.239747, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage\r\n\r\n\r\n"]
[13.240078, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.240379, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.240718, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.240997, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.241377, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.241411, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues\r\n\r\n\r\n"]
[13.255612, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.255638, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.255954, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.256299, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.256533, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.256943, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and\r\n\r\n\r\n"]
[13.25734, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.2577, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.258125, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.258435, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.258882, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.258908, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PR\r\n\r\n\r\n"]
[13.268277, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.268303, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.268629, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.268948, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.269248, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.269588, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs\r\n\r\n\r\n"]
[13.269943, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.27023, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.270551, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.270813, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.271129, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.271139, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly\r\n\r\n\r\n"]
[13.280997, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.281035, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.281299, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.281588, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.281802, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.282078, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly:\r\n\r\n\r\n"]
[13.282361, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.282578, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.282861, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.283155, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.283473, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.283527, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label\r\n\r\n\r\n"]
[13.310388, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.310431, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.310739, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.311066, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.311312, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.311657, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label,\r\n\r\n\r\n"]
[13.311973, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.31224, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.312609, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.312886, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.313224, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.313236, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign\r\n\r\n\r\n"]
[13.32246, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.322516, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.322837, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.323154, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.323393, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.323715, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign,\r\n\r\n\r\n"]
[13.324061, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.324329, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.324672, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.324951, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.325243, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.325336, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request\r\n\r\n\r\n"]
[13.330765, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.330804, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.33106, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.331373, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.33161, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.33194, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes\r\n\r\n\r\n"]
[13.332264, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.332535, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.332832, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.33312, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.333454, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.333465, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes,\r\n\r\n\r\n"]
[13.352748, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.35281, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.353107, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.353451, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.353699, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.354041, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or\r\n\r\n\r\n"]
[13.354364, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.354616, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.354954, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.355234, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.356744, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.356791, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge\r\n\r\n\r\n"]
[13.386766, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.386801, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.387145, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.38746, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.38769, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.388068, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge.\r\n\r\n\r\n"]
[13.388381, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.388633, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.388944, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.389248, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.389608, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.389622, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep\r\n\r\n\r\n"]
[13.404718, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.404768, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.405116, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.405464, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.405718, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.406101, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor\r\n\r\n\r\n"]
[13.406436, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.40672, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.407038, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.40734, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.407669, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.407713, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback\r\n\r\n\r\n"]
[13.429311, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.429423, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.429847, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.430126, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.430347, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.430618, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive\r\n\r\n\r\n"]
[13.43095, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.431233, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.431562, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.43186, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.432231, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.432243, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and\r\n\r\n\r\n"]
[13.441184, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.441217, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.441541, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.441907, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.442319, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.44271, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely\r\n\r\n\r\n"]
[13.443127, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.443456, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.443873, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.444247, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.44468, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.444716, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n\r\n\r\n"]
[13.456148, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.456193, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.456603, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.456917, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.457162, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.457473, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n\r\n\r\n\r\n"]
[13.457812, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.458246, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.458709, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.45915, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.459656, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.459687, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n-\r\n\r\n\r\n"]
[13.473278, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.473341, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.473638, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.473973, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.474215, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.474551, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage\r\n\r\n\r\n"]
[13.474909, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.475195, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.475528, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.475839, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.476221, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.476564, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide o"]
[13.476836, "o", "n minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CO"]
[13.477143, "o", "NDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests,"]
[13.477447, "o", " coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environmen"]
[13.47832, "o", "t.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey a"]
[13.478572, "o", "ctions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions:\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (fl"]
[13.478926, "o", "ake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup"]
[13.4792, "o", ".cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers i"]
[13.479597, "o", "nstallation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: decl"]
[13.480593, "o", "are build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matri"]
[13.480618, "o", "x for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight\r\n\r\n\r\n"]
[13.488082, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.488106, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.488405, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.488713, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.488938, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.489234, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good\r\n\r\n\r\n"]
[13.489558, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.4898, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.490073, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.490306, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.490582, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.490591, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first\r\n\r\n\r\n"]
[13.505465, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.505503, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.505852, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.506159, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.506384, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.506687, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues\r\n\r\n\r\n"]
[13.507003, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.507278, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.507556, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.507855, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.50818, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.508191, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues,\r\n\r\n\r\n"]
[13.51744, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.517472, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.517891, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.518367, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.51876, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.519281, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate the"]
[13.519796, "o", "m behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy"]
[13.520193, "o", " is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to "]
[13.520651, "o", "set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from t"]
[13.521135, "o", "hese artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming"]
[13.521646, "o", ", and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up\r\n\r\n\r\n"]
[13.524726, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.524774, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.525038, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.525407, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.525831, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.526245, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a\r\n\r\n\r\n"]
[13.52662, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.52692, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.527361, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.527816, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.528297, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.528306, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap\r\n\r\n\r\n"]
[13.544628, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.544663, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.54497, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.545282, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.545552, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.545887, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap,\r\n\r\n\r\n"]
[13.546196, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.546501, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.546801, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.547175, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.54754, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.54755, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor\r\n\r\n\r\n"]
[13.553463, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.553481, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.553749, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.554022, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.554248, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.554516, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors\r\n\r\n\r\n"]
[13.554801, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.555031, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.5553, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.555589, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.555883, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.555893, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors,\r\n\r\n\r\n"]
[13.580483, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.580535, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.581024, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.581512, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.581891, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.58244, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and\r\n\r\n\r\n"]
[13.582925, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.58331, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.584586, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.58578, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.58614, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.586434, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoi"]
[13.586702, "o", "d network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a"]
[13.586939, "o", " maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r"]
[13.587243, "o", "\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdis"]
[13.587531, "o", "t and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people "]
[13.587571, "o", "as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small\r\n\r\n\r\n"]
[13.587767, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.58812, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.588461, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.58875, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.588955, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.589287, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation\r\n\r\n\r\n"]
[13.599372, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.5994, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.599683, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.599964, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.600175, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.600452, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes\r\n\r\n\r\n"]
[13.60072, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.600933, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.601345, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.601781, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.602288, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.602297, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as\r\n\r\n\r\n"]
[13.617225, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.61726, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.617557, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.617875, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.618088, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.618386, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a\r\n\r\n\r\n"]
[13.618684, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.618895, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.619215, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.619483, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.619835, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.619844, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy\r\n\r\n\r\n"]
[13.633687, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.63374, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.634057, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.63439, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.634724, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.635049, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign\r\n\r\n\r\n"]
[13.635391, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.635648, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.635956, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.636248, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.636577, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.636588, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n\r\n\r\n"]
[13.651955, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.651992, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.65245, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.652942, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.653328, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.653852, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n\r\n\r\n\r\n"]
[13.654374, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.654806, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.655264, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.655713, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.656116, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.656124, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n-\r\n\r\n\r\n"]
[13.712805, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.712839, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.713208, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.713622, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.713911, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.714306, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor\r\n\r\n\r\n"]
[13.714703, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.715017, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.715365, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.715694, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.716071, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.716082, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security\r\n\r\n\r\n"]
[13.721602, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.721643, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.721966, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.722316, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.722601, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.723003, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security:\r\n\r\n\r\n"]
[13.723367, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.723684, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.72404, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.724376, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.725433, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.725472, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set\r\n\r\n\r\n"]
[13.736031, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.73608, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.736403, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.736735, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.73699, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.737307, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up\r\n\r\n\r\n"]
[13.737652, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.737945, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.738267, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.738581, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.738944, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.73899, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up depend\r\n\r\n\r\n"]
[13.740963, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.740999, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.741339, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.741671, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.741957, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.742341, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot\r\n\r\n\r\n"]
[13.742721, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.743059, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.743412, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.743707, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.744047, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.744079, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts\r\n\r\n\r\n"]
[13.773858, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.773903, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.774264, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.774656, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.774955, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.775362, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts,\r\n\r\n\r\n"]
[13.775735, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.77602, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.776383, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.776695, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.777087, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.777124, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond\r\n\r\n\r\n"]
[13.782751, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.78281, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.78315, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.783551, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.783809, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.784183, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to\r\n\r\n\r\n"]
[13.784549, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.784832, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.785224, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.785557, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.785931, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.785948, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability\r\n\r\n\r\n"]
[13.802805, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.802853, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.803192, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.803551, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.803809, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.804139, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports\r\n\r\n\r\n"]
[13.8045, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.804789, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.805118, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.805442, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.805802, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.805835, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per\r\n\r\n\r\n"]
[13.82499, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.825038, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.825416, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.825853, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.826183, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.82659, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your\r\n\r\n\r\n"]
[13.827037, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.827376, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.827765, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.828214, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.828591, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.82861, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY\r\n\r\n\r\n"]
[13.846647, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.846691, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.847075, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.847468, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.847775, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.848163, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md\r\n\r\n\r\n"]
[13.848569, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.848906, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.849278, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.849657, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.850075, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.850089, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md,\r\n\r\n\r\n"]
[13.858749, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.858822, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.859157, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.859528, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.859787, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.860119, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and\r\n\r\n\r\n"]
[13.860491, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.860782, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.861133, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.861483, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.861808, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.86182, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release\r\n\r\n\r\n"]
[13.870845, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.870932, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.871298, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.871684, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.87194, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.872294, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches\r\n\r\n\r\n"]
[13.873893, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.874156, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.8745, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.87483, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.875159, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.875192, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly\r\n\r\n\r\n"]
[13.879049, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.879104, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.879412, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.879772, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.88004, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.880391, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when\r\n\r\n\r\n"]
[13.880791, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.881167, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.88148, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.881806, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.882175, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.882463, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed\r\n\r\n\r\n"]
[13.896271, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.896325, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.896667, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.897113, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.897518, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.898072, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consi"]
[13.898543, "o", "stent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyprojec"]
[13.89898, "o", "t.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs"]
[13.899453, "o", ") that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern "]
[13.899972, "o", "packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in"]
[13.900545, "o", " CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches qu"]
[13.900913, "o", "ickly when needed.\r\n\r\n\r\n\r\n"]
[13.923874, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.92394, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.924327, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.92468, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.924958, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.925379, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n-\r\n\r\n\r\n"]
[13.926097, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.926499, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.926752, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.927121, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.927601, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.927943, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan\r\n\r\n\r\n"]
[13.952826, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.952939, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.953448, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.953814, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.954102, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.954453, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for\r\n\r\n\r\n"]
[13.954812, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.955138, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.955485, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.95588, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.957223, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.957489, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the"]
[13.957804, "o", " code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license f"]
[13.958169, "o", "ield) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (doc"]
[13.958531, "o", "s/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:"]
[13.959025, "o", "\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifac"]
[13.959556, "o", "ts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and r"]
[13.960018, "o", "elease patches quickly when needed.\r\n- Plan for long-term\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is cor"]
[13.960368, "o", "rect\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contr"]
[13.96073, "o", "ibution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, r"]
[13.961095, "o", "eproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/stat"]
[13.961455, "o", "ic analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release)"]
[13.961774, "o", ".\r\n- Announce releases with a clear changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance\r\n\r\n\r\n"]
[13.965508, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.965548, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.966763, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.967071, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.9673, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.967611, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance:\r\n\r\n\r\n"]
[13.967982, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.968248, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.968557, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.968849, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.969118, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.969385, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify\r\n\r\n\r\n"]
[13.979276, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.97932, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.979629, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.979977, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.980213, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.980683, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional\r\n\r\n\r\n"]
[13.981203, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.981543, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.981894, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.982364, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.982793, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.983176, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintain\r\n\r\n\r\n"]
[13.9904, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.990428, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.990742, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.991045, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.991266, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.991558, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers\r\n\r\n\r\n"]
[13.991822, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[13.992183, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[13.992568, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[13.992945, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[13.993325, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[13.993714, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers,\r\n\r\n\r\n"]
[14.002064, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.002145, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.002538, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.002832, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.003052, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.003351, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document\r\n\r\n\r\n"]
[14.003652, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.003895, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.004163, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.004425, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.004701, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.004911, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the\r\n\r\n\r\n"]
[14.015047, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.015086, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.015412, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.015748, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.015987, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.01632, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release\r\n\r\n\r\n"]
[14.016649, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.016896, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.017191, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.017506, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.017839, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.018071, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process\r\n\r\n\r\n"]
[14.036527, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.036557, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.036849, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.037156, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.037384, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.037718, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and\r\n\r\n\r\n"]
[14.038033, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.038289, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.038568, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.038878, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.040675, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.040898, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI\r\n\r\n\r\n"]
[14.054842, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.054879, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.055187, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.055494, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.055717, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.056027, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets\r\n\r\n\r\n"]
[14.05635, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.056602, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.05692, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.057234, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.057557, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.057766, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management\r\n\r\n\r\n"]
[14.074212, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.074255, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.074532, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.075322, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.075567, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.075916, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management,\r\n\r\n\r\n"]
[14.076279, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.076541, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.07681, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.0771, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.077398, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.0776, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and\r\n\r\n\r\n"]
[14.088222, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.088254, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.088581, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.088896, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.089121, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.089482, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider\r\n\r\n\r\n"]
[14.08981, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.090069, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.09032, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.090611, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.09086, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.09103, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring\r\n\r\n\r\n"]
[14.102493, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.102524, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.102816, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.103133, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.103355, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.103734, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the\r\n\r\n\r\n"]
[14.104066, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.104328, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.104591, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.104921, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.105234, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.10545, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo\r\n\r\n\r\n"]
[14.116527, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.116558, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.11689, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.117228, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.117474, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.117797, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to\r\n\r\n\r\n"]
[14.118114, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.118398, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.118679, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.118991, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.119294, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.119515, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an\r\n\r\n\r\n"]
[14.126303, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.12633, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.126575, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.12692, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.127161, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.127478, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization\r\n\r\n\r\n"]
[14.127807, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.128053, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.128287, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.128559, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.12881, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.129021, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if\r\n\r\n\r\n"]
[14.145335, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.145424, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.145785, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.146103, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.146344, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.146672, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the\r\n\r\n\r\n"]
[14.147024, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.14736, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.147627, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.147985, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.148288, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.148514, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project\r\n\r\n\r\n"]
[14.157828, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.157863, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.158136, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.158436, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.158716, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.159034, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows\r\n\r\n\r\n"]
[14.159261, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.159538, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.159822, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.160112, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.160331, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.160517, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\n\r\n"]
[14.183836, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.183873, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.184091, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.184311, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.185284, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.185497, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper "]
[14.185725, "o", "package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you wan"]
[14.186025, "o", "t broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what th"]
[14.186233, "o", "e library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4"]
[14.186459, "o", ". Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you s"]
[14.186667, "o", "upport binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap,"]
[14.186837, "o", " mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\n\r\n\r\n\r\n"]
[14.216252, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.216294, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.216621, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.216959, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.217242, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.217789, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick\r\n\r\n\r\n"]
[14.218249, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.218592, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.218921, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.219295, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.219605, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.219874, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist\r\n\r\n\r\n"]
[14.231674, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.231714, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.232002, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.232325, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.232577, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.232848, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n\r\n\r\n"]
[14.233175, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.233488, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.23377, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.234088, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.234336, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.234764, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n\r\n\r\n\r\n"]
[14.356146, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.356312, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.357553, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.358275, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.359513, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.360328, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n-\r\n\r\n\r\n"]
[14.361155, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.361905, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.362529, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.363134, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.363654, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.364137, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated\r\n\r\n\r\n"]
[14.364744, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.365261, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.365744, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.366211, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.366691, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.367072, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing\r\n\r\n\r\n"]
[14.367433, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.367835, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.368258, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.368688, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.369257, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.369282, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to\r\n\r\n\r\n"]
[14.374836, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.374891, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.375258, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.375623, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.375923, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.376308, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to Py\r\n\r\n\r\n"]
[14.376696, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.377062, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.377442, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.377828, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.37811, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.378434, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI\r\n\r\n\r\n"]
[14.387755, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.387815, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.38815, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.38853, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.3888, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.389296, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or\r\n\r\n\r\n"]
[14.391032, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.391389, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.391726, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.392096, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.39243, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.392784, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other\r\n\r\n\r\n"]
[14.395394, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.395431, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.395792, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.396109, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.396419, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.396786, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n\r\n\r\n"]
[14.39716, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.397492, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.397785, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.398142, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.398464, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.398737, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n\r\n\r\n\r\n"]
[14.404771, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.404801, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.405115, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.405459, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.405717, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.406034, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n-\r\n\r\n\r\n"]
[14.40641, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.406729, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.407038, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.407382, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.407681, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.40796, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release\r\n\r\n\r\n"]
[14.413414, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.413466, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.413735, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.414017, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.414265, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.414588, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes\r\n\r\n\r\n"]
[14.414923, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.415235, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.41545, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.415766, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.416104, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.41635, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and\r\n\r\n\r\n"]
[14.417245, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.417275, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.417568, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.417882, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.418144, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.418469, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n\r\n\r\n"]
[14.418798, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.419382, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.419778, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.420337, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.420746, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.421156, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n\r\n\r\n\r\n"]
[14.428832, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.428948, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.429347, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.430253, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.430543, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.43091, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n-\r\n\r\n\r\n"]
[14.431262, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.431577, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.43184, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.432173, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.432414, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.432728, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active\r\n\r\n\r\n"]
[14.435563, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.435592, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.435848, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.436128, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.436364, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.436643, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue\r\n\r\n\r\n"]
[14.436979, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.437275, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.43749, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.437765, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.437996, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.43824, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/\r\n\r\n\r\n"]
[14.445029, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.44507, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.44532, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.445569, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.445785, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.446109, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR\r\n\r\n\r\n"]
[14.446395, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.446694, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.44695, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.447988, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.448261, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.448498, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR tri\r\n\r\n\r\n"]
[14.45312, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.45314, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.4534, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.453716, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.453955, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.454267, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage\r\n\r\n\r\n"]
[14.454619, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.454889, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.455104, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.455477, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.455696, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.455953, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and\r\n\r\n\r\n"]
[14.461756, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.461801, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.462072, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.462348, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.462552, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.462819, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming\r\n\r\n\r\n"]
[14.463102, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.463362, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.463599, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.463881, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.464115, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.464362, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n\r\n\r\n"]
[14.474229, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.474264, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.474533, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.474796, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.475005, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.475454, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n\r\n\r\n\r\n"]
[14.475923, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.476324, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.476685, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.47706, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.477372, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.477837, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n-\r\n\r\n\r\n"]
[14.479102, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.479142, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.479418, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.479696, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.479927, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.48024, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security\r\n\r\n\r\n"]
[14.480549, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.480823, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.481068, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.48133, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.481509, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.481794, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring\r\n\r\n\r\n"]
[14.49643, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.496464, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.496704, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.496967, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.497163, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.497467, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and\r\n\r\n\r\n"]
[14.497717, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.497958, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.49818, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.498423, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.49858, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.498851, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a\r\n\r\n\r\n"]
[14.507252, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.507276, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.507569, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.507849, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.508078, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.508395, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process\r\n\r\n\r\n"]
[14.508692, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.508954, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.509224, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.50952, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.509711, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.509969, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to\r\n\r\n\r\n"]
[14.518695, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.518723, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.518988, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.519306, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.520258, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.520525, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, i"]
[14.520791, "o", "nstall, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and s"]
[14.521041, "o", "et governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution "]
[14.521268, "o", "guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see wha"]
[14.521507, "o", "t changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or simila"]
[14.521691, "o", "r for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Tr"]
[14.52194, "o", "iage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n\r\n\r\n"]
[14.535042, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.535077, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.535384, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.535694, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.53591, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.536213, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n\r\n\r\n\r\n"]
[14.536625, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.536915, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.537142, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.539669, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.53986, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.540145, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n-\r\n\r\n\r\n"]
[14.550049, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.550078, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.550348, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.550604, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.550814, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.551137, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- On\r\n\r\n\r\n"]
[14.551779, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.552296, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.552785, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.553694, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.553884, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.554185, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding\r\n\r\n\r\n"]
[14.564531, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.564549, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.564802, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.565085, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.565296, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.565648, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan\r\n\r\n\r\n"]
[14.56595, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.566237, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.566447, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.56673, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.566903, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.567168, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for\r\n\r\n\r\n"]
[14.602916, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.602966, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.603276, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.603577, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.603835, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.604151, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new\r\n\r\n\r\n"]
[14.604467, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.604804, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.605068, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.605376, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.605588, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.605911, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintain\r\n\r\n\r\n"]
[14.616255, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.616295, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.616618, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.616963, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.617194, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.617513, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\n\r\n"]
[14.617839, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.618151, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.618418, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.618646, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.618897, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.619286, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\n\r\n\r\n"]
[14.624626, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.624639, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.624925, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.625249, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.625551, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.625914, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\n\r\n\r\n\r\n"]
[14.626285, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.627137, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.627354, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.6276, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.627807, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.628413, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf\r\n\r\n\r\n"]
[14.636538, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.636571, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.63725, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.63753, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.637774, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.638128, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you\r\n\r\n\r\n"]
[14.63844, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.638773, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.639019, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.639308, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.639515, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.639978, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want\r\n\r\n\r\n"]
[14.658533, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.658569, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.658881, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.659284, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.659556, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.659912, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want,\r\n\r\n\r\n"]
[14.660261, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.660583, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.660813, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.661091, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.661305, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.661607, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I\r\n\r\n\r\n"]
[14.672878, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.67291, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.673224, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.673568, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.673786, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.674114, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can\r\n\r\n\r\n"]
[14.674438, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.674784, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.675065, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.675344, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.675547, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.675814, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate\r\n\r\n\r\n"]
[14.687495, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.687526, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.68786, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.688151, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.688428, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.68875, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template\r\n\r\n\r\n"]
[14.689072, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.689394, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.689665, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.689956, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.690184, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.690505, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files\r\n\r\n"]
[14.690533, "o", "\r\n"]
[14.714377, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.714427, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.714748, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.715063, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.71529, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.715623, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.715975, "o", "\r\n\r\n\r\n"]
[14.716287, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.716586, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.716886, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.717117, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.717447, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.717768, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.717778, "o", " any\r\n\r\n\r\n"]
[14.736041, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.736183, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.736564, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.736878, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.737145, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.737498, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.737833, "o", " any of\r\n\r\n\r\n"]
[14.738181, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.738499, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.738837, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.739064, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.740405, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.741975, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.742242, "o", " any of these\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r"]
[14.742583, "o", "\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT "]
[14.74294, "o", "and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behav"]
[14.743227, "o", "ior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style "]
[14.743548, "o", "checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changel"]
[14.743954, "o", "og entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generat"]
[14.743985, "o", "e template files for any of these (\r\n\r\n\r\n"]
[14.744342, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.744414, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.744672, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.744975, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.745304, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.745618, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.745903, "o", " any of these (README\r\n\r\n\r\n"]
[14.759359, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.75945, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.760083, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.76051, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.760771, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.762211, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.76248, "o", " any of these (README,\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where"]
[14.762764, "o", " helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_"]
[14.763037, "o", "CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actu"]
[14.763318, "o", "al behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automat"]
[14.763544, "o", "e style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear"]
[14.76389, "o", " changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can"]
[14.764202, "o", " generate template files for any of these (README, CONTRIBUT\r\n\r\n\r\n"]
[14.779788, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.779908, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.780287, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.780608, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.780924, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.782417, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.782721, "o", " any of these (README, CONTRIBUTING\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted an"]
[14.783034, "o", "d typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documente"]
[14.783354, "o", "d\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, exp"]
[14.783657, "o", "ected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possibl"]
[14.783915, "o", "e.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases"]
[14.784203, "o", " with a clear changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf yo"]
[14.784593, "o", "u want, I can generate template files for any of these (README, CONTRIBUTING.md\r\n\r\n\r\n"]
[14.795206, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.795249, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.795571, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.795869, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.796106, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.796413, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.796743, "o", " any of these (README, CONTRIBUTING.md,\r\n\r\n\r\n"]
[14.797071, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.797366, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.797721, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.797984, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.798358, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.79869, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.798701, "o", " any of these (README, CONTRIBUTING.md, LICENSE\r\n\r\n\r\n"]
[14.834305, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.834356, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.834687, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.835001, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.835247, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.835599, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.835948, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices\r\n\r\n\r\n"]
[14.836265, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.836577, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.836917, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.837168, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.837516, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.837865, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.837877, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices,\r\n\r\n\r\n"]
[14.887827, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.887883, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.888242, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.888625, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.888916, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.889389, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.889757, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, py\r\n\r\n\r\n"]
[14.890128, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.890454, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.890846, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.891153, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.89157, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.892782, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.892795, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject\r\n\r\n\r\n"]
[14.89674, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.896789, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.897125, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.897492, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.897766, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.898149, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.898566, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.tom\r\n\r\n\r\n"]
[14.898919, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.89929, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.899686, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.899989, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.900377, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.900812, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.900829, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml\r\n\r\n\r\n"]
[14.919994, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.920044, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.920424, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.920775, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.921092, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.921491, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.921897, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml,\r\n\r\n\r\n"]
[14.922265, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.922579, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.922978, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.923274, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.923675, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.924108, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.92417, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, Git\r\n\r\n\r\n"]
[14.934546, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.934673, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.935276, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.935696, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.935986, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.936381, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.936755, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub\r\n\r\n\r\n"]
[14.937136, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.937449, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.93778, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.938044, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.938392, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.938731, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.938743, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions\r\n\r\n\r\n"]
[14.948738, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.948766, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.949126, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.949508, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.949767, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.950175, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.95054, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI\r\n\r\n\r\n"]
[14.950862, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.951179, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.951764, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.952166, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.952747, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.953218, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.953242, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI,\r\n\r\n\r\n"]
[14.979389, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.979441, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.979711, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.979975, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.980181, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.980438, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.980689, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup\r\n\r\n\r\n"]
[14.980914, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[14.981117, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[14.981377, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[14.981587, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[14.981839, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[14.982086, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[14.982101, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for\r\n\r\n\r\n"]
[15.007003, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[15.007045, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[15.007467, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[15.007872, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[15.008175, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[15.008594, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[15.009141, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checkli"]
[15.009561, "o", "st:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and "]
[15.009882, "o", "declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to "]
[15.010318, "o", "collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platfor"]
[15.011839, "o", "ms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub "]
[15.012267, "o", "Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a proce"]
[15.012652, "o", "ss to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing to\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python "]
[15.013032, "o", "version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Cont"]
[15.013349, "o", "ributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards"]
[15.014611, "o", ", how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up auto"]
[15.014909, "o", "mated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose"]
[15.015246, "o", " a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices"]
[15.015687, "o", "\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing to Py\r\n\r\n\r\n"]
[15.015911, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[15.016248, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[15.016587, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[15.016877, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[15.017225, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[15.01756, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[15.017621, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing to PyPI\r\n\r\n\r\n"]
[15.017842, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[15.018222, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[15.018555, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[15.018883, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[15.019248, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[15.019523, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[15.019561, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing to PyPI).\r\n\r\n\r\n"]
[15.01986, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[15.020235, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[15.020564, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[15.020909, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[15.021243, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[15.021483, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[15.021493, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing to PyPI). Which\r\n\r\n\r\n"]
[15.03155, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[15.031576, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[15.032074, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[15.032394, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[15.032654, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[15.033037, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[15.033401, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing to PyPI). Which file\r\n\r\n\r\n"]
[15.033716, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[15.033946, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[15.034327, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[15.034643, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[15.035212, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[15.035745, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[15.035755, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing to PyPI). Which file would\r\n\r\n\r\n"]
[15.078534, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[15.078591, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[15.078997, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[15.079344, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[15.079623, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[15.079999, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[15.080391, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing to PyPI). Which file would you\r\n\r\n\r\n"]
[15.080724, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[15.080976, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[15.08135, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[15.081655, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[15.082022, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[15.082365, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[15.082378, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing to PyPI). Which file would you like\r\n\r\n\r\n"]
[15.082697, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[15.083043, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[15.083387, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[15.083748, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[15.084121, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[15.08443, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[15.084497, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing to PyPI). Which file would you like first\r\n\r\n\r\n"]
[15.08472, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[15.085061, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[15.085377, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[15.085715, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[15.086138, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[15.086436, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[15.086447, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing to PyPI). Which file would you like first?\r\n\r\n\r\n"]
[15.136073, "o", "\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.toml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for "]
[15.136144, "o", "core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQuick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidanc"]
[15.13656, "o", "e added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHA"]
[15.13692, "o", "NGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests across supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commi"]
[15.137189, "o", "t hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push release artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migrati"]
[15.13757, "o", "on notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming responses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for"]
[15.137956, "o", " any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing to PyPI). Which file would you like first?\r\n\r\n\r\n\u001b[H\u001b[J## 1. Prepare the codebase and project structure\r\n\r\nGoal: make the library easy to inspect, install, and run so others can evaluate and contribute.\r\n\r\nKey actions:\r\n- Clean up the repository: remove secrets and large build artifacts; add a sensible .gitignore.\r\n- Organize code into a proper package (a top-level package directory with __init__.py or use pyproject-based layout). Keep a stable public API surface and move internal helpers under a _private module.\r\n- Ensure the code has a consistent style (flake8/ruff, black) and is reasonably well-typed (type hints, mypy where useful).\r\n- Add tests covering important behavior and edge cases. Aim for deterministic tests and avoid network/hardware dependencies or isolate them behind fixtures/mocks.\r\n- Decide on minimum Python version(s) and list runtime/test dependencies in a single place (pyproject.to"]
[15.138278, "o", "ml or requirements files).\r\n\r\nQuick checklist:\r\n- Clean repo, no secrets\r\n- Package layout is correct\r\n- Code linted and typed where helpful\r\n- Tests added for core features\r\n- Specify supported Python versions and dependencies\r\n\r\n## 2. Choose a license and set governance\r\n\r\nChoose an appropriate open source license so others know how they may use and contribute to your work.\r\n\r\nKey actions:\r\n- Pick a license: permissive (MIT, BSD, Apache 2.0) if you want broad reuse; copyleft (GPL) if you require derived works to remain open.\r\n- Add a LICENSE file at the repo root containing the full license text.\r\n- Set repository metadata (license field) in pyproject.toml or setup.cfg so package indices display it.\r\n- Define a simple governance model: who is a maintainer, how decisions are made, how to request features or fixes. For small projects, a maintainer list and an issue/PR triage policy is enough.\r\n- Consider a CODE_OF_CONDUCT (e.g., Contributor Covenant) and a SECURITY.md describing vulnerability reporting.\r\n\r\nQu"]
[15.138541, "o", "ick checklist:\r\n- LICENSE file present and declared in metadata\r\n- Maintainer/ownership and contribution flow documented\r\n- CODE_OF_CONDUCT and SECURITY guidance added if you want to be inclusive and secure\r\n\r\n## 3. Write clear documentation and contribution guidelines\r\n\r\nGood documentation and contribution docs lower the barrier to entry and reduce friction for both users and contributors.\r\n\r\nKey actions:\r\n- Create a concise README that explains what the library does, why it exists, quick install instructions (pip install), a short example showing typical usage, and links to docs and issues.\r\n- Provide more detailed documentation (docs/ or hosted docs) that covers installation options, configuration, API reference, examples, and migration notes for breaking changes. Tools: Sphinx, mkdocs, or simple static docs generated from markdown.\r\n- Add a CONTRIBUTING.md that explains how to set up a dev environment, run tests, coding standards, how to submit issues and PRs, and how maintainers will review/merge.\r\n- Use"]
[15.138897, "o", " issue and PR templates (GitHub/GitLab) to collect the right information up front (environment, reproduction steps, expected vs actual behavior).\r\n- Include CHANGELOG.md or use a changelog strategy (Keep a Changelog, semantic-release) so consumers can see what changes between releases.\r\n\r\nQuick checklist:\r\n- README with usage example\r\n- Detailed docs or API reference\r\n- CONTRIBUTING.md and issue/PR templates\r\n- CHANGELOG or release notes practice\r\n\r\n## 4. Package, test, and automate (CI/CD)\r\n\r\nPackaging and automation increase reliability and make it easy for users to install and for maintainers to accept contributions.\r\n\r\nKey actions:\r\n- Adopt modern packaging: declare build backend and metadata in pyproject.toml (PEP 517/518). Provide version in a single source-of-truth (e.g., package __init__.py or use setuptools_scm).\r\n- Build sdist and wheel artifacts. Test installation from these artifacts in a clean environment.\r\n- Set up automated tests with a CI provider (GitHub Actions, GitLab CI, etc.). Run tests a"]
[15.139178, "o", "cross supported Python versions and platforms, run linters and type checks, and run security/static analysis if possible.\r\n- Automate style checks and pre-commit hooks to keep commits consistent (pre-commit framework). Consider filling in Dependabot or similar for dependency updates.\r\n- Add packaging metadata: description, long_description, keywords, classifiers (Python versions, licenses), project URLs (documentation, issue tracker, source).\r\n- If you support binary extensions, set up wheels for relevant platforms or document build requirements.\r\n\r\nQuick checklist:\r\n- pyproject.toml + single-source versioning\r\n- build and test artifacts locally and in CI\r\n- CI matrix for Python versions\r\n- pre-commit and code quality checks\r\n\r\n## 5. Release, announce, and maintain the project\r\n\r\nMaking a successful open-source project is about people as much as code: release reliably, be welcoming, and manage contributions.\r\n\r\nKey actions:\r\n- Choose a release cadence and semantic versioning. Tag releases in git and push rele"]
[15.139506, "o", "ase artifacts to PyPI (use twine or GitHub Actions to automate publishing when you tag a release).\r\n- Announce releases with a clear changelog entry and migration notes for breaking changes. Share via social channels, mailing lists, or community forums.\r\n- Triage issues and PRs promptly: label, assign, request changes, or merge. Keep contributor feedback constructive and timely.\r\n- Encourage contributions: highlight good first issues, write up a roadmap, mentor contributors, and accept small documentation fixes as a healthy sign.\r\n- Monitor security: set up dependabot alerts, respond to vulnerability reports per your SECURITY.md, and release patches quickly when needed.\r\n- Plan for long-term maintenance: identify additional maintainers, document the release process and CI secrets management, and consider transferring the repo to an organization if the project grows.\r\n\r\nQuick checklist:\r\n- Automated publishing to PyPI or other indices\r\n- Release notes and announcements\r\n- Active issue/PR triage and welcoming r"]
[15.139816, "o", "esponses\r\n- Security monitoring and a process to handle vulnerabilities\r\n- Onboarding plan for new maintainers\r\n\r\nIf you want, I can generate template files for any of these (README, CONTRIBUTING.md, LICENSE choices, pyproject.toml, GitHub Actions CI, setup for releasing to PyPI). Which file would you like first?\r\n\r\n\r\n"]
