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        "description": "|Travis|_ |AppVeyor|_ |Codecov|_ |CircleCI|_ |ReadTheDocs|_\n\n.. |Travis| image:: https://travis-ci.com/hichamjanati/pyldpc.svg?branch=master\n.. _Travis: https://travis-ci.com/hichamjanati/pyldpc\n\n.. |AppVeyor| image:: https://ci.appveyor.com/api/projects/status/l7g6vywwwuyha49l?svg=true\n.. _AppVeyor: https://ci.appveyor.com/project/hichamjanati/pyldpc\n\n.. |Codecov| image:: https://codecov.io/gh/hichamjanati/pyldpc/branch/master/graph/badge.svg\n.. _Codecov: https://codecov.io/gh/hichamjanati/pyldpc\n\n.. |CircleCI| image:: https://circleci.com/gh/hichamjanati/pyldpc.svg?style=svg\n.. _CircleCI: https://circleci.com/gh/hichamjanati/pyldpc/tree/master\n\n.. |ReadTheDocs| image:: https://readthedocs.org/projects/pyldpc/badge/?version=latest\n.. _ReadTheDocs: https://pyldpc.readthedocs.io/en/latest/\n\n\n\n=============================================\n**Simulation of LDPC Codes & Applications**\n=============================================\n*version 0.7.7*\n\nDescription:\n------------\n- Simulation of regular LDPC codes.\n- Probabilistic decoding: Belief Propagation algorithm for gaussian white noise transmission.\n- Simulation application to image and audio data.\n\n**Image coding-decoding example:**\n\n.. .. image:: https://media.giphy.com/media/l4KicsAauqIWjeFR6/giphy.gif\n.. image:: https://media.giphy.com/media/l0COHC49bK6g7yIPm/giphy.gif\n\n\n**Sound coding-decoding example:**\n\n `Sound Transmission <http://nbviewer.jupyter.org/github/hichamjanati/pyldpc-tutos/blob/master/Example-Sound.ipynb>`_\n\n\nInstallation\n------------\n\nIf you already have a working Python environment (Anaconda for e.g):\n\n::\n\n    pip install --upgrade pyldpc\n\nOtherwise, we recommend creating this minimal `conda env <https://raw.githubusercontent.com/hichamjanati/pyldpc/master/environment.yml>`_\n\n::\n\n    conda env create --file environment.yml\n    conda activate pyldpc-env\n    pip install -U pyldpc\n\nExample\n-------\n\n.. code:: python\n\n    >>> import numpy as np\n    >>> from pyldpc import make_ldpc, encode, decode, get_message\n    >>> n = 15\n    >>> d_v = 4\n    >>> d_c = 5\n    >>> snr = 10\n    >>> H, G = make_ldpc(n, d_v, d_c, systematic=True, sparse=True)\n    >>> k = G.shape[1]\n    >>> v = np.random.randint(2, size=k)\n    >>> y = encode(G, v, snr)\n    >>> d = decode(H, y, snr, maxiter=100, log=True)\n    >>> x = get_message(G, d)\n    >>> assert abs(x - v).sum() == 0\n\nContact:\n--------\nPlease contact hicham.janati@inria.fr for any bug encountered / any further information.",
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