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        "author": "Nico Schl\u00f6mer",
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            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
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        "description": "# fastfunc\n\n[![CircleCI](https://img.shields.io/circleci/project/github/nschloe/fastfunc/master.svg?style=flat-square)](https://circleci.com/gh/nschloe/fastfunc/tree/master)\n[![codecov](https://img.shields.io/codecov/c/github/nschloe/fastfunc.svg?style=flat-square)](https://codecov.io/gh/nschloe/fastfunc)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/ambv/black)\n[![speedy](https://img.shields.io/badge/speedy-gonzales-ff69b4.svg?style=flat-square)](https://github.com/nschloe/fastfunc)\n[![PyPi Version](https://img.shields.io/pypi/v/fastfunc.svg?style=flat-square)](https://pypi.org/project/fastfunc)\n[![GitHub stars](https://img.shields.io/github/stars/nschloe/fastfunc.svg?style=flat-square&logo=github&label=Stars&logoColor=white)](https://github.com/nschloe/fastfunc)\n[![PyPi downloads](https://img.shields.io/pypi/dd/fastfunc.svg?style=flat-square)](https://pypistats.org/packages/fastfunc)\n\n[NumPy's own ufunc\noperations](https://docs.scipy.org/doc/numpy/reference/generated/numpy.ufunc.at.html)\nare handy, but can be quite slow (see https://github.com/numpy/numpy/issues/5922 and\nhttps://github.com/numpy/numpy/issues/11156).  Use `fastfunc` as a drop-in replacement\n```python\n# import numpy\n# numpy.add.at(target, idx, vals)\n\nimport fastfunc\nfastfunc.add.at(target, idx, vals)\n\n# If you really only need _add_, you can use\n# numpy.bincount(idx, weights=vals, minlength=target.shape[0])\n```\nto get a speed-up by a factor of 40.\n\n![](https://nschloe.github.io/fastfunc/add.png)\n\nThis is achieved by moving the operations to C++ using [pybind11](https://github.com/pybind/pybind11).\n\n### Installation\n\nfastfunc is [available from the Python Package\nIndex](https://pypi.org/project/fastfunc/), so simply do\n```\npip install -U fastfunc\n```\nto install or upgrade.\n\n### Testing\n\nTo run the fastfunc unit tests, check out this repository and type\n```\npytest\n```\n\n### License\n\nfastfunc is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).",
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