prompt_learner/.DS_Store,sha256=xjShrr4-uMR0fOje3ilVpxG0NOT4xsDLkhzQxhOpTWU,6148
prompt_learner/adapters/__init__.py,sha256=2V3WcfinxlwQJv48YEuE3rYNG0DjSEChlOwlBTP8NXc,28
prompt_learner/adapters/adapter.py,sha256=8Hjxl9gs529AqxiNR9T8v8UvfsHC0aU5cU2YNAVy9GE,521
prompt_learner/adapters/anthropic.py,sha256=-gl5pe8E_2JvXgQv7kQrdskfCsoUu_wcTi-4aOt1OrM,1291
prompt_learner/adapters/llama.py,sha256=SknDiDS4xREUfForFCIJ9Z_5ZqhMBQp5PkVnO2F1d0g,659
prompt_learner/adapters/openai.py,sha256=vt1ASIgUES0AskFBd8ipV-gL4AgRsNJbXymiPpKzeSI,662
prompt_learner/evals/metrics/accuracy.py,sha256=Zy4VeEUcEtT2HIMy432nx2xl1DSBx3x_R7XpoBX3DNs,1278
prompt_learner/examples/__init__.py,sha256=Y3aB-yl_P_AlTEWRGhAqpytzJNUBY7n3JkO04ojhin4,29
prompt_learner/examples/example.py,sha256=7csFihEs20tU14StKiwbCfwJb9h7U9cZbUh4OGAZ2wo,316
prompt_learner/examples/manipulation/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
prompt_learner/inference/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
prompt_learner/inference/predict.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
prompt_learner/optimizers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
prompt_learner/optimizers/descriptors/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
prompt_learner/optimizers/descriptors/descriptor.py,sha256=EAtUoeJrr19QHnsQH4h5Efm-P_V2YPVOvKcUMOtrf6k,165
prompt_learner/optimizers/optimizer.py,sha256=GNs39HgcL_EsBhZGsek3ccX-0Os3sfnx7vAowOUu7jc,34
prompt_learner/optimizers/selectors/__init__.py,sha256=7B4lSm0yzMj9Jc19MkcIf6TKisnbTAiPJxXxrjeHcjI,30
prompt_learner/optimizers/selectors/diverse_sampler.py,sha256=6G9VjjUoWfA4C7at9EfWK2oJQ15r5aGqQdOryBIDt1k,1537
prompt_learner/optimizers/selectors/random_sampler.py,sha256=J8lSS9NBkc8xEkmbsTH3WFMlt4Yd39QthYmUgsBPV48,624
prompt_learner/optimizers/selectors/selector.py,sha256=fEDmQbxKuZS79xmy1cYKbZBa7lylS_piK-tCYb438M0,873
prompt_learner/optimizers/selectors/stratified_sampler.py,sha256=8Y9c1ybxzJBy37XLZ3EgU_0gU6LR1ihPqAvP1eoxbA4,888
prompt_learner/prompts/__init__.py,sha256=01JhSlgIwiXpuHckD9eioZym4s_E4ezlfSbUd-QvuGQ,26
prompt_learner/prompts/cot.py,sha256=cS_eNSQE9v0yTai8myDtXoy8VI5Zm5jjdZohEyaaz9k,597
prompt_learner/prompts/prompt.py,sha256=NQmBCKEw-qm1Effd8l92xqGQGv2e9rTzQB_Dzrzf2SA,1136
prompt_learner/tasks/__init__.py,sha256=PD4IL6k-cpx7islk8P9eEk0Z2eRLQkbUdrR_P0Op7MM,22
prompt_learner/tasks/classification.py,sha256=UwANKMIDfVfLWRwsYkyPn8SaqCKNwkTVKKC8-T4TGdw,625
prompt_learner/tasks/sql_generation.py,sha256=O7hYGduu9D0lpXUdYr7sy4PbmqifWiytMMWpkbG2jgs,400
prompt_learner/tasks/tagging.py,sha256=kX2PD-qlVu7-bG4zlmUCTQAIA-2FNA2Jo6IKMu0EUnE,529
prompt_learner/tasks/task.py,sha256=ElJcfp-E7ekBrRJP_OnliC8DehW7oku4rubF0TfBzTc,1589
prompt_learner/templates/__init__.py,sha256=kmoiUAbxNdooHMTeu11MwQcClRUNJPThh0gHCe02ZmY,30
prompt_learner/templates/claude_template.py,sha256=pAtemBeMjngIA20C1ZjKMMHmC4k0FLsuYt3UNLRvOnk,2863
prompt_learner/templates/gpt_template.py,sha256=KA4TS6bKpFAVsnSKCQOEAZpzX5S1sxjvi75CO5EfQd0,2648
prompt_learner/templates/template.py,sha256=XXfoMNOtmTLfz2OVPsK0Glp4h_bxKoDkulK5tRLMJcg,1570
prompt_learner/translator/translate.py,sha256=Mv2Tq65FfY6MDyyf0lf1d1psIu_OGQNWy1QIbzCu0II,3373
prompt_learner-0.2.4.dist-info/METADATA,sha256=mN1PvjtJUo1xkkhqJzln9uueY16NxfcGIknnqlgwPsg,2970
prompt_learner-0.2.4.dist-info/WHEEL,sha256=sP946D7jFCHeNz5Iq4fL4Lu-PrWrFsgfLXbbkciIZwg,88
prompt_learner-0.2.4.dist-info/RECORD,,
