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        "description": "# sfpy\nsoftfloat and softposit in Python\n  * support for softfloat float16, float32, and float64\n  * support for softposit posit8, quire8, posit16, quire16, posit32, and quire32\n\n## Installation\n\nOn most linux distros, sfpy should work out of the box:\n\n```\npip install sfpy\n```\n\nBinary wheels (compatible with manylinux1) are available for CPython 2.7, 3.5, 3.6, and 3.7.\n\nUnder the hood, sfpy uses Cython to create bindings for the softposit and softfloat C libraries.\nThese building instructions are tested on Ubuntu 18.04 - for other platforms they may need some\nadaptation. The cythonized C and compiled static libraries (.a), as well as necessary headers,\nare included in the source releases; installing these does not require Cython.\n\n## Demo\n```\n>>> import sfpy\n>>> from sfpy import *\n>>> a, b = Float16(1.3), Float16(1.4)\n>>> a * b - a / b\nFloat16(0.89208984375)\n>>> sfpy.float.flag_get_inexact()\nTrue\n>>> a += b\n>>> a\nFloat16(2.69921875)\n>>>\n>>> x, y = Posit16(3.0), Posit16(3)\n>>> x\nPosit16(3.0)\n>>> x.bits\n22528\n>>> y\nPosit16(2.9802322387695312e-08)\n>>> y.bits\n3\n>>> x * y\nPosit16(8.940696716308594e-08)\n>>> acc = Posit16(0)\n>>> for i in range(10000):\n...   acc = acc.fma(x, y)\n... \n>>> acc\nPosit16(1.9073486328125e-06)\n>>> acc.bits\n24\n>>> q = Quire16(0)\n>>> for i in range(10000):\n...   q.iqma(x, y)\n... \n>>> q\nQuire16(0.00089263916015625)\n>>> q.bits\n64424509440000\n>>> q.to_posit()\nPosit16(0.00089263916015625)\n>>> q.to_posit().bits\n490\n```\n\n## Building\nSee [BUILDING](https://github.com/billzorn/sfpy/blob/master/BUILDING.md).\n\n\n",
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