cosmic-selection


Namecosmic-selection JSON
Version 0.0.3 PyPI version JSON
download
home_pagehttps://github.com/2catycm/CosmicSelection
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.
upload_time2024-10-07 17:57:22
maintainerNone
docs_urlNone
author叶璨铭
requires_python>=3.7
licenseApache Software License 2.0
keywords nbdev jupyter notebook python
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # CosmicSelection


<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

“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



            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/2catycm/CosmicSelection",
    "name": "cosmic-selection",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.7",
    "maintainer_email": null,
    "keywords": "nbdev jupyter notebook python",
    "author": "\u53f6\u74a8\u94ed",
    "author_email": "12011404@mail.sustech.edu.cn",
    "download_url": "https://files.pythonhosted.org/packages/e1/05/78659edf8450fc203d304f41d2aea04e4e668850a36cb26121f42d0bd061/cosmic_selection-0.0.3.tar.gz",
    "platform": null,
    "description": "# CosmicSelection\n\n\n<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->\n\n\u201c\u7269\u7ade\u5929\u62e9\uff0c\u9002\u8005\u751f\u5b58\u3002\u201d\n\n\u201c\u81ea\u7136\u9009\u62e9\u53f7\uff0c\u524d\u8fdb\u56db\uff01\u201d\n\n## Developer Guide\n\nIf you are new to using `nbdev` here are some useful pointers to get you\nstarted.\n\n### Install CosmicSelection in Development mode\n\n``` sh\n# make sure CosmicSelection package is installed in development mode\n$ pip install -e .\n\n# make changes under nbs/ directory\n# ...\n\n# compile to have changes apply to CosmicSelection\n$ nbdev_prepare\n```\n\n## Usage\n\n### Installation\n\nInstall latest from the GitHub\n[repository](https://github.com/2catycm/CosmicSelection):\n\n``` sh\n$ pip install git+https://github.com/2catycm/CosmicSelection.git\n```\n\nor from [conda](https://anaconda.org/2catycm/CosmicSelection)\n\n``` sh\n$ conda install -c 2catycm CosmicSelection\n```\n\nor from [pypi](https://pypi.org/project/CosmicSelection/)\n\n``` sh\n$ pip install CosmicSelection\n```\n\n### Documentation\n\nDocumentation can be found hosted on this GitHub\n[repository](https://github.com/2catycm/CosmicSelection)\u2019s\n[pages](https://2catycm.github.io/CosmicSelection/). Additionally you\ncan find package manager specific guidelines on\n[conda](https://anaconda.org/2catycm/CosmicSelection) and\n[pypi](https://pypi.org/project/CosmicSelection/) respectively.\n\n## How to use\n\nFill me in please! Don\u2019t forget code examples:\n\n``` python\n1+1\n```\n\n    2\n\n\n",
    "bugtrack_url": null,
    "license": "Apache Software License 2.0",
    "summary": "\u5929\u62e9\uff0c\u57fa\u4e8ePyTorch\u7684\u65b0\u4e00\u4ee3\u9ad8\u6027\u80fd\u6f14\u5316\u8ba1\u7b97\u6846\u67b6\u3002CosmicSelection: a new generation of high-performance evolutionary computing framework based on PyTorch.",
    "version": "0.0.3",
    "project_urls": {
        "Homepage": "https://github.com/2catycm/CosmicSelection"
    },
    "split_keywords": [
        "nbdev",
        "jupyter",
        "notebook",
        "python"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b2bfefc7180170575312d4ec1eee6cd9070491d689e3cf0c153cf945629ff0b8",
                "md5": "98c7fa988b41eb0882aeb53bb9b61c4c",
                "sha256": "3845106a85ded9edc79e4aa80f14a84661854e8632229a1c4605ac59bea22cc2"
            },
            "downloads": -1,
            "filename": "cosmic_selection-0.0.3-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "98c7fa988b41eb0882aeb53bb9b61c4c",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.7",
            "size": 15728,
            "upload_time": "2024-10-07T17:57:20",
            "upload_time_iso_8601": "2024-10-07T17:57:20.518838Z",
            "url": "https://files.pythonhosted.org/packages/b2/bf/efc7180170575312d4ec1eee6cd9070491d689e3cf0c153cf945629ff0b8/cosmic_selection-0.0.3-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "e10578659edf8450fc203d304f41d2aea04e4e668850a36cb26121f42d0bd061",
                "md5": "4c9ce1d25d068c1d1401d46ed25d38ed",
                "sha256": "621616c1c739d3744325862fd5dda0c46a7911656cab56c4061c74f01247e738"
            },
            "downloads": -1,
            "filename": "cosmic_selection-0.0.3.tar.gz",
            "has_sig": false,
            "md5_digest": "4c9ce1d25d068c1d1401d46ed25d38ed",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.7",
            "size": 15112,
            "upload_time": "2024-10-07T17:57:22",
            "upload_time_iso_8601": "2024-10-07T17:57:22.053479Z",
            "url": "https://files.pythonhosted.org/packages/e1/05/78659edf8450fc203d304f41d2aea04e4e668850a36cb26121f42d0bd061/cosmic_selection-0.0.3.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-10-07 17:57:22",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "2catycm",
    "github_project": "CosmicSelection",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "cosmic-selection"
}
        
Elapsed time: 0.93379s