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            "Intended Audience :: Developers",
            "Intended Audience :: Manufacturing",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Topic :: Artistic Software",
            "Topic :: Multimedia :: Graphics :: 3D Modeling",
            "Topic :: Scientific/Engineering :: Mathematics",
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        "description": "vx\n==\n\n[![version](https://img.shields.io/pypi/v/vector_shortcuts.svg?style=flat-square)][pypi]\n[![license](https://img.shields.io/pypi/l/vector_shortcuts.svg?style=flat-square)][pypi]\n[![build](https://img.shields.io/circleci/project/github/lace/vx/master.svg?style=flat-square)][build]\n[![docs build](https://img.shields.io/readthedocs/vx.svg?style=flat-square)][docs build]\n[![code style](https://img.shields.io/badge/code%20style-black-black.svg?style=flat-square)][black]\n\nVector and linear algebra toolbelt for [NumPy][].\n\n[pypi]: https://pypi.org/project/vector_shortcuts/\n[build]: https://circleci.com/gh/lace/vx/tree/master\n[docs build]: https://vx.readthedocs.io/en/latest/\n[black]: https://black.readthedocs.io/en/stable/\n[lace]: https://github.com/metabolize/lace\n[numpy]: https://www.numpy.org/\n\n\nFeatures\n--------\n\n- `normalize` normalizes a vector.\n- `sproj` computes the scalar projection of one vector onto another.\n- `proj` computes the vector projection of one vector onto another.\n- `reject` computes the vector rejection of one vector from another.\n- `reject_axis` zeros or squashes one component of a vector.\n- `magnitude` computes the magnitude of a vector.\n- `angle` computes the unsigned angle between two vectors.\n- `signed_angle` computes the signed angle between two vectors.\n- `almost_zero` tests if a vector is almost the zero vector.\n- `almost_collinear` tests if two vectors are almost collinear.\n- `pad_with_ones` adds a column of ones.\n- `unpad` strips off a column (e.g. of ones).\n- `apply_homogeneous` applies a transformation matrix using homogeneous\n  coordinates.\n- Complete documentation: http://vx.readthedocs.io/\n\n\nInstallation\n------------\n\n```sh\npip install numpy vector_shortcuts\n```\n\n\nUsage\n-----\n\n```py\nimport numpy as np\nimport vx\n\nprojected = vx.sproj(np.array([5.0, -3.0, 1.0]), onto=vx.basis.neg_y)\n```\n\n\nContribute\n----------\n\n- Issue Tracker: https://github.com/metabolize/vx/issues\n- Source Code: https://github.com/metabolize/vx\n\nPull requests welcome!\n\n\nSupport\n-------\n\nIf you are having issues, please let us know.\n\n\nAcknowledgements\n----------------\n\nThis collection was developed at Body Labs by [Paul Melnikow][] and extracted\nfrom the Body Labs codebase and open-sourced as part of [blmath][] by [Alex\nWeiss][]. blmath was subsequently [forked][fork] by Paul Melnikow and later\nthis namespace was broken out into its own package.\n\n[paul melnikow]: https://github.com/paulmelnikow\n[blmath]: https://github.com/bodylabs/blmath\n[alex weiss]: https://github.com/algrs\n[fork]: https://github.com/metabolize/blmath\n\n\nLicense\n-------\n\nThe project is licensed under the two-clause BSD license.",
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