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    "info": {
        "author": "Nico Schl\u00f6mer",
        "author_email": "nico.schloemer@gmail.com",
        "bugtrack_url": null,
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            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Mathematics",
            "Topic :: Software Development :: Libraries"
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        "description": "# pyfma\n\n[Fused multiply-add](https://en.wikipedia.org/wiki/Multiply%E2%80%93accumulate_operation#Fused_multiply%E2%80%93add)\nfor Python.\n\n[![CircleCI](https://img.shields.io/circleci/project/github/nschloe/pyfma/master.svg?style=flat-square)](https://circleci.com/gh/nschloe/pyfma/tree/master)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/ambv/black)\n[![PyPi Version](https://img.shields.io/pypi/v/pyfma.svg?style=flat-square)](https://pypi.python.org/pypi/pyfma)\n[![GitHub stars](https://img.shields.io/github/stars/nschloe/pyfma.svg?logo=github&label=Stars&logoColor=white&style=flat-square)](https://github.com/nschloe/pyfma)\n\nFused multiply-add computes `(x*y) + z` with a _single rounding_. Useful for dot\nproducts, matrix multiplications, polynomial evaluations (e.g., with Horner's rule),\nNewton's method for evaluating functions, convolutions, artificial neural networks etc.\n\nUse as\n```python\nimport pyfma\n\nout = pyfma.fma(3.0, 2.0, 1.0)  # 3.0*2.0 + 1.0 = 7.0\n```\nAlso works with NumPy inputs:\n```python\nimport numpy\nimport pyfma\n\nx = numpy.random.rand(3, 4, 5)\ny = numpy.random.rand(3, 4, 5)\nz = numpy.random.rand(3, 4, 5)\n\nout = pyfma.fma(x, y, z)\n```\n\nBuilt with [pybind11](https://github.com/pybind/pybind11).\n\n> **Caution**\n> The C/C++ implementation of FMA in *MS Windows* is [reportedly\n> broken](https://bugs.python.org/msg312480). Use with care.\n\n### Installation\n\npyfma can be [installed from the Python Package\nIndex](https://pypi.python.org/pypi/pyfma/), so with\n```\npip3 install pyfma --user\n```\nyou can install/upgrade.\n\n#### Manual installation\n\nFor manual installation (if you're a developer or just really keen on getting the\nbleeding edge version of pyfma), there are two possibilities:\n\n * Get the sources, type `python3 setup.py install`. This does the trick\n   most the time.\n * As a fallback, there's a CMake-based installation. Simply go `cmake\n   /path/to/sources/` and `make`.\n\n### Testing\n\nTo run the pyfma unit tests, check out this repository and type\n```\npytest\n```\n\n### License\n\npyfma is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).",
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        "name": "pyfma",
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