{ "info": { "author": "Shay Palachy", "author_email": "shay.palachy@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Topic :: Software Development :: Libraries", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "experinet\n#######\n.. |PyPI-Status| |PyPI-Versions| |Build-Status| |Codecov| |LICENCE|\n\n.. .. |experinet_icon| image:: https://github.com/shaypal5/experinet/blob/88d480fd90820ea58c062029ce7e926201794e47/experinet_small.png\n\nSynthetic network theory experiment.\n\n.. code-block:: python\n\n experinet.run_experiment(\n {\n 'entry': {\n 'type': 'generate',\n 'model': 'ba',\n 'd': 2,\n }\n }\n )\n\n.. contents::\n\n.. section-numbering::\n\n\nInstallation\n============\n\n.. code-block:: bash\n\n pip install experinet\n\n\n\nFeatures\n========\n\n* Pure python.\n* Supports Python 3.5+.\n* Fully tested.\n\n\nUse\n===\n\nTBA\n\n\nContributing\n============\n\nPackage author and maintainer is Shay Palachy (shay.palachy@gmail.com); You are more than welcome to approach him for help. Contributions are very welcomed.\n\nInstalling for development\n----------------------------\n\nClone:\n\n.. code-block:: bash\n\n git clone git@github.com:shaypal5/experinet.git\n\n\nInstall in development mode, including test dependencies:\n\n.. code-block:: bash\n\n cd experinet\n pip install -e '.[test]'\n\n\n\nRunning the tests\n-----------------\n\nTo run the tests use:\n\n.. code-block:: bash\n\n cd experinet\n pytest\n\n\nAdding documentation\n--------------------\n\nThe project is documented using the `numpy docstring conventions`_, which were chosen as they are perhaps the most widely-spread conventions that are both supported by common tools such as Sphinx and result in human-readable docstrings. When documenting code you add to this project, follow `these conventions`_.\n\n.. _`numpy docstring conventions`: https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt\n.. _`these conventions`: https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt\n\nAdditionally, if you update this ``README.rst`` file, use ``python setup.py checkdocs`` to validate it compiles.\n\n\nCredits\n=======\n\nCreated by Shay Palachy (shay.palachy@gmail.com).\n\n\n.. |PyPI-Status| image:: https://img.shields.io/pypi/v/experinet.svg\n :target: https://pypi.python.org/pypi/experinet\n\n.. |PyPI-Versions| image:: https://img.shields.io/pypi/pyversions/experinet.svg\n :target: https://pypi.python.org/pypi/experinet\n\n.. |Build-Status| image:: https://travis-ci.org/shaypal5/experinet.svg?branch=master\n :target: https://travis-ci.org/shaypal5/experinet\n\n.. |LICENCE| image:: https://github.com/shaypal5/experinet/blob/master/mit_license_badge.svg\n :target: https://github.com/shaypal5/experinet/blob/master/LICENSE\n\n.. https://img.shields.io/github/license/shaypal5/experinet.svg\n\n.. |Codecov| image:: https://codecov.io/github/shaypal5/experinet/coverage.svg?branch=master\n :target: https://codecov.io/github/shaypal5/experinet?branch=master\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/shaypal5/experinet", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "experinet", "package_url": "https://pypi.org/project/experinet/", "platform": "", "project_url": "https://pypi.org/project/experinet/", "project_urls": { "Homepage": "https://github.com/shaypal5/experinet" }, "release_url": "https://pypi.org/project/experinet/0.0.0/", "requires_dist": [ "click", "networkx", "pytest; extra == 'test'", "coverage; extra == 'test'", "pytest-cov; extra == 'test'", "collective.checkdocs; extra == 'test'", "pygments; extra == 'test'", "click; extra == 'test'", "networkx; extra == 'test'" ], "requires_python": ">=3.5", "summary": "Network propagation models for networkx.", "version": "0.0.0" }, "last_serial": 4092158, "releases": { "0.0.0": [ { "comment_text": "", "digests": { "md5": "9f0ede59146826e58383877291e09291", "sha256": "708fcb1f2ab9261f9f3b3002e0b313d5d831bd8eaebefff7bb698955f5af9201" }, "downloads": -1, "filename": "experinet-0.0.0-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "9f0ede59146826e58383877291e09291", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": ">=3.5", "size": 5318, "upload_time": "2018-07-23T08:09:53", "url": "https://files.pythonhosted.org/packages/88/b6/7696bb4111517e70be80161c533cdb8b66a9decd55bb632cd6cb5e4d2e57/experinet-0.0.0-py2.py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "9f0ede59146826e58383877291e09291", "sha256": "708fcb1f2ab9261f9f3b3002e0b313d5d831bd8eaebefff7bb698955f5af9201" }, "downloads": -1, "filename": "experinet-0.0.0-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "9f0ede59146826e58383877291e09291", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": ">=3.5", "size": 5318, "upload_time": "2018-07-23T08:09:53", "url": "https://files.pythonhosted.org/packages/88/b6/7696bb4111517e70be80161c533cdb8b66a9decd55bb632cd6cb5e4d2e57/experinet-0.0.0-py2.py3-none-any.whl" } ] }