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    "info": {
        "author": "Dmitry E. Kislov",
        "author_email": "kislov@easydan.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Mathematics"
        ],
        "description": "Mpseudo |Build Status|\n======================\n\nMpseudo performs multicore and precise computation of pseudospectra of\n(square or rectangular) matricies. It uses pseudospectra definition and\nfind epsilon-values on a regular grid of a complex plane. It uses\n``multiprocessing`` module to share computations between cpu-cores, and\n``mpmath`` module to make calculations with high precision.\n\nDependencies\n------------\n\n``Mpmath`` module is needed to perform computations with high precision.\n\n``pip install mpmath``\n\nIf you don't need ability of high precision pseudospectra computation\n(more than 15 digits), the ``mpseudo`` can work without ``mpmath``. The\nonly requirement - `NumPy <http://numpy.org>`__. It should be installed\non your system or in virtual environment.\n\nInstallation\n------------\n\n``git clone https://github.com/scidam/mpseudo.git``\n\nExample\n-------\n\nThe pseudospectrum of the gallery(5) MatLab matrix looks like this (up\nto 100-digits of accuracy used for a matrix resolvent computation):\n\n.. figure:: gal5pseudo.png\n   :alt: Pseudospectrum of gallery(5) MatLab matrix\n\n   Pseudospectrum of gallery(5) MatLab matrix\n\nThe pseudospectra above is obtained via the following lines of code:\n\n.. code:: python\n\n    from matplotlib import pyplot\n    from mpseudo import pseudo\n\n    # Gallery(5) MatLab matrix (exact eigenvalue is 0 (the only!))\n    A = [[-9, 11, -21, 63, -252],\n         [70, -69, 141, -421, 1684],\n         [-575, 575, -1149, 3451, -13801],\n         [3891, -3891, 7782, -23345, 93365],\n         [1024, -1024, 2048, -6144, 24572]]\n\n    # compute pseudospectrum in the bounding box [-0.05,0.05,-0.05,0.05] with \n    # resolution 100x100 (ncpu = 2 processes) and 50-digits precision.\n    psa, X, Y = pseudo(A, ncpu=2, digits=50, ppd=100, bbox=[-0.05,0.05,-0.05,0.05])\n\n    # show results\n    pyplot.conourf(X, Y, psa)\n    pyplot.show()\n\nNote, if ``mpmath`` module is not installed, pseudospectrum of the\nmatrix will be computed with standard (double, 15-digits) precision,\nwhich is not sufficient for this case.\n\nInteresting, but\n`Eigtool <http://www.cs.ox.ac.uk/pseudospectra/eigtool/>`__ or\n`PseudoPy <https://github.com/andrenarchy/pseudopy>`__ tools (along with\n``scipy eigvals`` function) applied to the matrix A in the example above\nlead to inaccurate results (due to insufficient (double) precision):\n\n.. figure:: inacpseudo.png\n   :alt: Pseudospectrum of gallery(5) MatLab matrix plotted via PseudoPy\n\n   Pseudospectrum of gallery(5) MatLab matrix plotted via PseudoPy\n\nRead about this script in Russian\n`here <http://easydan.com/arts/arch/high-prec-pseudospectra/>`__.\n\nLicense\n-------\n\nMpseudo is free software licensed under the `MIT\nLicense <http://opensource.org/licenses/mit-license.php>`__.\n\n.. |Build Status| image:: https://travis-ci.org/scidam/mpseudo.svg?branch=master\n   :target: https://travis-ci.org/scidam/mpseudo",
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        "name": "mpseudo",
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        "summary": "Computation of pseudospectra of matrices in parallel",
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