Metadata-Version: 2.1
Name: friendlywords
Version: 1.1.3
Summary: Python package to generate random human-readable strings, e.g. project and experiment names
Home-page: https://github.com/the-lay/py-friendly-words
Author: the-lay
Author-email: ilja.gubin@gmail.com
License: MIT
Project-URL: Source, https://github.com/the-lay/py-friendly-words
Project-URL: Issues, https://github.com/the-lay/py-friendly-words/issues
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# py-friendly-words
[![PyPI version](https://badge.fury.io/py/friendlywords.svg)](https://badge.fury.io/py/friendlywords)
![PyPI - Downloads](https://img.shields.io/pypi/dm/friendlywords)
[![Tests](https://github.com/the-lay/py-friendly-words/actions/workflows/test.yml/badge.svg)](https://github.com/the-lay/py-friendly-words/actions/workflows/test.yml)

Python package to generate random human-readable strings, e.g. project and experiment names.
The word lists are taken from
[glitchdomcom/friendly-words](https://github.com/glitchdotcom/friendly-words) and the package provides
a convenient way to access it, as well as methods to easily generate combinations.

The package is simple, limited, and over-engineered at the same time.
In other words, a weekend night side project.
If you need a stable package with more extensive customization, uniqueness guarantees,
bigger and/or custom dictionaries, check out
[alexanderlukanin13/coolname](https://github.com/alexanderlukanin13/coolname).

Features
--------
- No extra dependencies
- Optional preloading to avoid re-reading word list files
- Customizable generation (see the examples below)
- Custom separators
- Can return as a list of words

Quick guide
-----------
Install with PIP: `pip install friendlywords`

```python
import friendlywords as fw

# optional preloading, load all word lists into memory (~41KB)
# otherwise every generation would involve reading the files
fw.preload()

# generate random string that consists of N words (N > 0)
# if N is 1, the returned word is an object
# if N > 1, the first N-1 words are predicates
fw.generate(1)
>>> 'square'
fw.generate(4)
>>> 'southern florentine rain college'

# generate string that consists of a random predicate and random object
# p = predicate, o = object, t = team, c = collection
fw.generate('po')
>>> 'bittersweet curio'
fw.generate('pt')
>>> 'wood organization'
fw.generate('co')
>>> 'selection title'

# specify the separator
fw.generate('po', separator='-')
>>> 'better-tabletop'
fw.generate('ppp', separator=', ')
>>> 'elegant, skitter, sunny'
fw.generate(3, separator='/')
>>> 'winter/alkaline/handsaw' 

# return list of words instead of a string (ignores separator keyword)
fw.generate(5, as_list=True)
>>> ['laced', 'polyester', 'ossified', 'cyclic', 'chronometer']
fw.generate('pppoc', as_list=True)
>>> ['able', 'splendid', 'harvest', 'hedge', 'playlist']

# lists of all predicates, objects, teams or collections
fw.predicates, fw.objects, fw.teams, fw.collections
>>> ['windy', ...], ['turnip', ...], ['alliance', ...], ['album', ...]
```

Notes
-----
- You could make it reproducible by setting the `random.seed()`.
