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        "author": "Tom Egan",
        "author_email": "tkegan@greenneondesign.com",
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            "Development Status :: 5 - Production/Stable",
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            "License :: OSI Approved :: Apache Software License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# About\n*ndvector* is yet another vector math library for Python3. Where numpy focuses\non everything including the kitchen sink, ndvector is intended to provide a\nsimple, pythonic, object oriented API for vector math in n dimensions.\n\n# License\nApache License 2.0 (see LICENSE)\n\n# Requirements\npython >= 3.5\n\n# Usage\nUsage attempts to be about what you expect. Simply import the library, create\nPoint and Vector objects, and do math with them.\n\n```python\nfrom n_dimension import Vector\n\nv1 = Vector(1.0, 0.0)\nv2 = Vector(-1.0, 1.0)\nv3 = v1 + v2\nprint(v3) # => Vector \u20390.0, 1.0\u203a\n```\n\n# API\nGiven:\n\n\t- s a scalar (float)\n\n\t- p, p# are instances of Point\n\n\t- v, v# are instances of Vector\n\nClass `Point`:\n\n\t- constructor - create a Point from one or more float parameters, a tuple\n\t\tof floats, or a list of floats\n\n\t- properties:\n\n\t\t- dimension - the dimension of the Point\n\n\t- operators:\n\n\t\t- 'p + v' addition of a Vector to a Point to get the Point at the tip of\n\t\t\tthe Vector if the tail of the vector is moved to the Point\n\n\t\t- 'p1 - p2' subtraction of a Point from a Point to get the Vector between\n\t\t\tthe Points\n\n\t\t- 'p1 == p2' equality (See Note 1)\n\n\t\t- 'p1 != p2' not equality (See Note 1)\n\nClass `Vector`:\n\n\t- constructor - create a Vector from one or more float parameters, a tuple\n\t\tof floats, or a list of floats\n\n\t- properties:\n\t\t- dimension - the dimension of the vector\n\t\t- magnitude - the magnitude of the vector\n\n\t- operators\n\n\t\t- 'v1 + v2' vector addition\n\n\t\t- 'v1 - v2' vector subtraction\n\n\t\t- 'v1 * v2' scalar aka dot product (v1 * v2 => scalar)\n\n\t\t- 'v * s' scale vector\n\n\t\t- 'v1 @ v2' vector aka cross product (v1 * v2 => vector) (See Note 2)\n\n\t\t- 'v1 == v2' equality (See Note 1)\n\n\t\t- 'v1 != v2' not equality (See Note 1)\n\n\t- methods\n\n\t\t- angle() - find the angle in radians between the vector and another vector\n\n\t\t- normalize() - find a unit vector with the same direction as the vector\n\n## Notes\n1) testing for equality when floats are involved is tricky. n_dimension\n\tconsiders two floats to be equal if the absolute value of their difference\n\tis less than a certain amount; currently 0.000001 seems to work well. This\n\tmay be refined after more testing\n2) only implemented for Vectors of dimension three (3)\n\n# Testing\nTesting is done using `tox` and `pytest`. See\nhttps://tox.readthedocs.io/en/latest/ for information about installing tox.\nRun the tests by cloning the source repository, changing into the local\nworking directory, and invoking `tox`.\n\n```sh\ngit clone https://github.com/tkegan/n_dimension.git\ncd n_dimension\ntox\n```\n\n# To Do\n- Create better API documentation\n\n- Investigate accelerated performance by moving some functionality to compiled code but only if the pure python implementation can be kept as a fallback\n\n# Contribute\nI welcome pull requests against the GitHub repository. If extending the API, please include tests. I will not merge changes to the API until tests are in place and passing.\n\n\n",
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