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    "info": {
        "author": "Nico Schl\u00f6mer",
        "author_email": "nico.schloemer@gmail.com",
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        "classifiers": [
            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Mathematics"
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        "description": "# pypathlib\n\n[![CircleCI](https://img.shields.io/circleci/project/github/nschloe/pypathlib/master.svg)](https://circleci.com/gh/nschloe/pypathlib/tree/master)\n[![codecov](https://img.shields.io/codecov/c/github/nschloe/pypathlib.svg)](https://codecov.io/gh/nschloe/pypathlib)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)\n[![PyPi Version](https://img.shields.io/pypi/v/pypathlib.svg)](https://pypi.org/project/pypathlib)\n[![GitHub stars](https://img.shields.io/github/stars/nschloe/pypathlib.svg?logo=github&label=Stars)](https://github.com/nschloe/pypathlib)\n\nLightweight package for working with 2D paths/polygons.\n\n```python\nimport pypathlib\n\n# Create path\npath = pypathlib.ClosedPath([[0, 0], [0, 1], [1, 1], [1, 0]])\n\n# Get the squared distance of some points to the path\npath.squared_distance([[0.5, 0.5], [0.1, 2.4]])\n\n# Get the _signed_ squared distance of some points to the path\n# (negative if inside the path)\npath.signed_squared_distance([[0.5, 0.5], [0.1, 2.4]])\n\n# Check if the path contains the points\n# (with a tolerance; set negative if you want to exclude the boundary)\npath.contains_points([[0.5, 0.5], [0.1, 2.4]], tol=1.0e-12)\n```\n\npypathlib is fully vectorized, so it's pretty fast. (Not quite as fast as\n[`mathplotlib.path.contains_points`](https://matplotlib.org/api/path_api.html#matplotlib.path.Path.contains_points)\nthough.)\n\n\n### Relevant publications\n\n * [S.W. Sloan, _A point-in-polygon program_. Adv. Eng. Software, Vol 7, No. 1, pp.\n   45-47, 1985, 10.1016/0141-1195(85)90094-4](https://doi.org/10.1016/0141-1195(85)90094-4).\n\n\n### Installation\n\npypathlib is [available from the Python Package\nIndex](https://pypi.org/project/pypathlib/), so simply type\n```\npip install -U pypathlib\n```\nto install or upgrade.\n\n### Testing\n\nTo run the pypathlib unit tests, check out this repository and type\n```\npytest\n```\n\n### Distribution\n\nTo create a new release\n\n1. bump the `__version__` number,\n\n2. publish to PyPi and GitHub:\n    ```\n    make publish\n    ```\n\n### License\n\npypathlib is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).\n\n\n",
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        "license": "License :: OSI Approved :: MIT License",
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        "name": "pypathlib",
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        "summary": "Tools for 2D open and closed paths",
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