{ "info": { "author": "Daniel Boeckenhoff", "author_email": "daniel.boeckenhoff@ipp.mpg.de", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.2", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8" ], "description": "```\n# Installation\n## Requirements\n* python versions >=2.7 or >=3.0\n## PyPI\nFrom user side, we recommend the installation via PyPI: \n```bash\npip install w7x\n```\nIn this process all dependencies are resolved automatically.\n\n## Git\nIf you want to keep on track very tightly to the project and or want to support development, clone the git to your and set the $PYTHONPATH variable.\n```bash\ncd favourite_directory\ngit clone https://gitlab.mpcdf.mpg.de/dboe/tfields.git # clone the repository\ngit submodule update --init --recursive # also clone all submodules (developer tools only. The code can run without this step.)\necho 'export PYTHONPATH=$PYTHONPATH:' >> ~/.bashrc # permanently set the $PYTHONPATH variable\nsource ~/.bashrc # make the PYTHONPATH change active\n```\n\n\n# Developers only:\n## Testing and Coverage:\nThis code is tested. New versions are only published, if the code coverage lies above 80% with no failing unit test.\nIf you want to check any of this, you have to download the code via git (see above)\nIn the tfields directory, run\n```bash\nmake test\n```\n\nTo check the coverage, run\n```bash\nmake coverage\n```\n\n## Git Hooks\nTo set up the shared git hooks, run\n```bash\nmake init\n```\n\n## Publishing to PyPI\nPublishing new versions of the code:\n*Change the version number in tfields/__about__.py\n*Then run\n```bash\nmake publish\n```\n\n\n# About\nThis library is in active development. We are still in alpha status but things are progressing fast. If you wish to get an idea, what this library is capable of, have a look in tfields/core.py e.g. the Tensors class and read the Examples (all doctests included in unittesting). Also tfields/mesh3D.py could be an interesting point to start if you would like to work with 3D meshes.", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://gitlab.mpcdf.mpg.de/dboe/tfields", "keywords": "tensors coordinate system trafo sympy numpy", "license": "Apache Software License", "maintainer": "", "maintainer_email": "", "name": "tfields", "package_url": "https://pypi.org/project/tfields/", "platform": "", "project_url": "https://pypi.org/project/tfields/", "project_urls": { "Homepage": "https://gitlab.mpcdf.mpg.de/dboe/tfields" }, "release_url": "https://pypi.org/project/tfields/0.1.4/", "requires_dist": null, "requires_python": ">=2.7", "summary": "numpy + sympy implementation of tensor fields with attached coordinate systems", "version": "0.1.4" }, "last_serial": 5091532, "releases": { "0.1.0.dev1": [ { "comment_text": "", "digests": { "md5": 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