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d8s-algorithms-0.7.0


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توضیحات

Democritus functions for working with algorithms.
ویژگی مقدار
سیستم عامل -
نام فایل d8s-algorithms-0.7.0
نام d8s-algorithms
نسخه کتابخانه 0.7.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Floyd Hightower
ایمیل نویسنده floyd.hightower27@gmail.com
آدرس صفحه اصلی https://github.com/democritus-project/d8s-algorithms
آدرس اینترنتی https://pypi.org/project/d8s-algorithms/
مجوز GNU Lesser General Public License v3
# Democritus Algorithms (a.k.a. d8s-algorithms) [![PyPI](https://img.shields.io/pypi/v/d8s-algorithms.svg)](https://pypi.python.org/pypi/d8s-algorithms) [![CI](https://github.com/democritus-project/d8s-algorithms/workflows/CI/badge.svg)](https://github.com/democritus-project/d8s-algorithms/actions) [![Lint](https://github.com/democritus-project/d8s-algorithms/workflows/Lint/badge.svg)](https://github.com/democritus-project/d8s-algorithms/actions) [![codecov](https://codecov.io/gh/democritus-project/d8s-algorithms/branch/main/graph/badge.svg?token=V0WOIXRGMM)](https://codecov.io/gh/democritus-project/d8s-algorithms) [![The Democritus Project uses semver version 2.0.0](https://img.shields.io/badge/-semver%20v2.0.0-22bfda)](https://semver.org/spec/v2.0.0.html) [![The Democritus Project uses black to format code](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![License: LGPL v3](https://img.shields.io/badge/License-LGPL%20v3-blue.svg)](https://choosealicense.com/licenses/lgpl-3.0/) Democritus functions<sup>[1]</sup> for working with algorithms. [1] Democritus functions are <i>simple, effective, modular, well-tested, and well-documented</i> Python functions. We use `d8s` (pronounced "dee-eights") as an abbreviation for `democritus` (you can read more about this [here](https://github.com/democritus-project/roadmap#what-is-d8s)). ## Installation ``` pip install d8s-algorithms ``` ## Usage You import the library like: ```python from d8s_algorithms import * ``` Once imported, you can use any of the functions listed below. ## Functions - ```python def amb(validation_function: Callable[..., bool], *args: Any) -> Iterable[Any]: """.""" ``` - ```python def depth_first_traverse( data: Any, get_children_function: Callable[[Any], Optional[Iterable]], *, collect_items_function: Optional[Callable[[Any], Any]] = None ) -> Iterable[Any]: """Traverse the data in a depth-first manner. The get_children_function specifies how children will be identified from each node of the data. The collect_items_function, if provided, allows you to collect items from the data by... returning them from the collect_items_function.""" ``` - ```python def breadth_first_traverse( data: Any, get_children_function: Callable[[Any], Optional[Iterable]], *, collect_items_function: Optional[Callable[[Any], Any]] = None ) -> Iterable[Any]: """Traverse the data in a breadth-first manner. The get_children_function specifies how children will be identified from each node of the data. The collect_items_function, if provided, allows you to collect items from the data by... returning them from the collect_items_function.""" ``` - ```python def genetic_algorithm_run( data: Iterable[Any], scoring_function: Callable[[Any], Union[int, float]], selection_function: Callable[[Dict[Any, Union[int, float]]], Iterable[Any]], mutation_function: Callable[[Iterable[Any]], Iterable[Any]], max_epochs: int, ) -> Dict[Any, Union[int, float]]: """.""" ``` - ```python def genetic_algorithm_best_mutation_function( starting_values: Iterable[Any], generations: int, scoring_function: Callable[[Any], Union[int, float]], mutation_functions: List[Callable[[Any], Any]], ): """Find the best mutation function. The best function is the one which produces values from the starting values... that score the highest (as measured by the scoring_function) after generations.""" ``` ## Development 👋 &nbsp;If you want to get involved in this project, we have some short, helpful guides below: - [contribute to this project 🥇][contributing] - [test it 🧪][local-dev] - [lint it 🧹][local-dev] - [explore it 🔭][local-dev] If you have any questions or there is anything we did not cover, please raise an issue and we'll be happy to help. ## Credits This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and Floyd Hightower's [Python project template](https://github.com/fhightower-templates/python-project-template). [contributing]: https://github.com/democritus-project/.github/blob/main/CONTRIBUTING.md#contributing-a-pr- [local-dev]: https://github.com/democritus-project/.github/blob/main/CONTRIBUTING.md#local-development-


نیازمندی

مقدار نام
==0.* d8s-dicts
- importlib-metadata


نحوه نصب


نصب پکیج whl d8s-algorithms-0.7.0:

    pip install d8s-algorithms-0.7.0.whl


نصب پکیج tar.gz d8s-algorithms-0.7.0:

    pip install d8s-algorithms-0.7.0.tar.gz