{ "info": { "author": "Marcel Rieger", "author_email": "python-numphy@googlegroups.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Information Technology", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 3" ], "description": ".. figure:: https://raw.githubusercontent.com/riga/numphy/master/logo.png\n :target: https://github.com/riga/numphy\n :align: center\n :alt: numphy logo\n\n.. image:: https://img.shields.io/travis/riga/numphy/master.svg?style=flat\n :target: https://travis-ci.org/riga/numphy\n :alt: Build status\n\n.. image:: https://readthedocs.org/projects/numphy/badge/?version=latest\n :target: http://numphy.readthedocs.io/en/latest\n :alt: Documentation status\n\n.. image:: https://img.shields.io/pypi/v/numphy.svg?style=flat\n :target: https://pypi.python.org/pypi/numphy\n :alt: Package version\n\n.. image:: https://img.shields.io/pypi/n/numphy.svg?style=flat\n :target: https://pypi.python.org/pypi/numphy\n :alt: License\n\n\nNumphy provides simple access to physics objects (particles, Lorentz vectors, points, etc.) backed by `NumPy `__ arrays **and/or** `TensorFlow `__ tensors.\n\n\n**Note**: This project is currently under development.\n\n\n.. marker-after-header\n\n\nFirst steps\n===========\n\nInstallation and Dependencies\n-----------------------------\n\nInstall via `pip `__:\n\n.. code-block:: bash\n\n pip install numphy\n\nNumPy is the only dependency.\n\n\nDevelopment\n===========\n\n- Source hosted at `GitHub `__\n- Report issues, questions, feature requests on `GitHub Issues `__\n\n\nContributing and Testing\n------------------------\n\nIf you like to contribute, we are happy to receive pull requests. Just make sure to add a new test case and run them via:\n\n.. code-block:: bash\n\n python -m unittest tests\n\n\nAuthors\n-------\n\n- `Marcel R. `__\n- `Benjamin F. `__\n\n\n.. marker-after-body\n\n\nLicense\n=======\n\nThe MIT License (MIT)\n\nCopyright (c) 2018 Marcel R.\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE.\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/riga/numphy", "keywords": "numpy physics hep particle vector lorentz boost numpy tensorflow", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "numphy", "package_url": "https://pypi.org/project/numphy/", "platform": "", "project_url": "https://pypi.org/project/numphy/", "project_urls": { "Homepage": "https://github.com/riga/numphy" }, "release_url": "https://pypi.org/project/numphy/0.0.2/", "requires_dist": null, "requires_python": "", "summary": "Physics objects backed by NumPy and/or TensorFlow.", "version": "0.0.2" }, "last_serial": 3828002, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "e165164c1660b2454aa2e8fb753107c4", "sha256": "966af30bd9558fd530064f78994fc841b685b08adc5f7a950e53c2e828353f6f" }, "downloads": -1, "filename": "numphy-0.0.1.tar.gz", "has_sig": false, "md5_digest": "e165164c1660b2454aa2e8fb753107c4", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3476, "upload_time": "2018-02-14T12:11:26", "url": "https://files.pythonhosted.org/packages/79/76/daf3dbdcbbb5ed47e415dd3debc84c44019811b22142133b1cadebfabecb/numphy-0.0.1.tar.gz" } ], "0.0.2": [ { "comment_text": "", "digests": { "md5": "542a9bb960112677143921d3c6b528f1", "sha256": "a2513e79a2a874e3ec229e229b2be053b5fe395a2c333cfcb06d1ca4ebabbd33" }, "downloads": -1, "filename": "numphy-0.0.2.tar.gz", "has_sig": false, "md5_digest": "542a9bb960112677143921d3c6b528f1", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 18040, "upload_time": "2018-05-02T18:20:13", "url": "https://files.pythonhosted.org/packages/7f/1c/595b4f68889f6fb249506a96b9db1ef4051ef75c0d940489d0436ced930a/numphy-0.0.2.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "542a9bb960112677143921d3c6b528f1", "sha256": "a2513e79a2a874e3ec229e229b2be053b5fe395a2c333cfcb06d1ca4ebabbd33" }, "downloads": -1, "filename": "numphy-0.0.2.tar.gz", "has_sig": false, "md5_digest": "542a9bb960112677143921d3c6b528f1", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 18040, "upload_time": "2018-05-02T18:20:13", "url": "https://files.pythonhosted.org/packages/7f/1c/595b4f68889f6fb249506a96b9db1ef4051ef75c0d940489d0436ced930a/numphy-0.0.2.tar.gz" } ] }