Metadata-Version: 2.1
Name: cosmic-selection
Version: 0.0.3
Summary: 天择，基于PyTorch的新一代高性能演化计算框架。CosmicSelection: a new generation of high-performance evolutionary computing framework based on PyTorch.
Home-page: https://github.com/2catycm/CosmicSelection
Author: 叶璨铭
Author-email: 12011404@mail.sustech.edu.cn
License: Apache Software License 2.0
Keywords: nbdev jupyter notebook python
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Provides-Extra: dev

# CosmicSelection


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“物竞天择，适者生存。”

“自然选择号，前进四！”

## Developer Guide

If you are new to using `nbdev` here are some useful pointers to get you
started.

### Install CosmicSelection in Development mode

``` sh
# make sure CosmicSelection package is installed in development mode
$ pip install -e .

# make changes under nbs/ directory
# ...

# compile to have changes apply to CosmicSelection
$ nbdev_prepare
```

## Usage

### Installation

Install latest from the GitHub
[repository](https://github.com/2catycm/CosmicSelection):

``` sh
$ pip install git+https://github.com/2catycm/CosmicSelection.git
```

or from [conda](https://anaconda.org/2catycm/CosmicSelection)

``` sh
$ conda install -c 2catycm CosmicSelection
```

or from [pypi](https://pypi.org/project/CosmicSelection/)

``` sh
$ pip install CosmicSelection
```

### Documentation

Documentation can be found hosted on this GitHub
[repository](https://github.com/2catycm/CosmicSelection)’s
[pages](https://2catycm.github.io/CosmicSelection/). Additionally you
can find package manager specific guidelines on
[conda](https://anaconda.org/2catycm/CosmicSelection) and
[pypi](https://pypi.org/project/CosmicSelection/) respectively.

## How to use

Fill me in please! Don’t forget code examples:

``` python
1+1
```

    2


