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        "author": "Nico Schl\u00f6mer",
        "author_email": "nico.schloemer@gmail.com",
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            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering",
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        "description": "# pykry\n\n[![CircleCI](https://img.shields.io/circleci/project/github/nschloe/pykry/master.svg)](https://circleci.com/gh/nschloe/pykry/tree/master)\n[![codecov](https://img.shields.io/codecov/c/github/nschloe/pykry.svg)](https://codecov.io/gh/nschloe/pykry)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)\n[![PyPi Version](https://img.shields.io/pypi/v/pykry.svg)](https://pypi.org/project/pykry)\n[![GitHub stars](https://img.shields.io/github/stars/nschloe/pykry.svg?logo=github&label=Stars&logoColor=white)](https://github.com/nschloe/pykry)\n\npykry is a thin wrapper around [KryPy](https://github.com/andrenarchy/krypy) that makes\nusing Krylov subspace methods in Python a little more convenient. Simply create the\nmatrix and the right-hand side, then fire it up:\n```python\nimport numpy\nimport pykry\n\nA = numpy.diag([1.0e-3] + list(range(2, 101)))\nb = numpy.ones(100)\n\n# out = pykry.cg(A, b)\n# out = pykry.minres(A, b)\nout = pykry.gmres(A, b)\n\n# out.xk contains the last iterate (ideally the solution),\n# out.resnorms the relative residual norms;\n# there's plenty more\n```\n![convergence](https://nschloe.github.io/pykry/conv.png)\n\nOwing to KryPy, pykry has a plethora of extra parameters to hand to either one of the\nmethods.\n\nGetting more fancy with linear operators is as easy as defining a matrix-vector\nmultiplication:\n```python\nimport numpy\nimport pykry\n\nn = 100\nA = numpy.diag([1.0e-3] + list(range(2, n + 1)))\n\ndef dot(x):\n  return A.dot(x)\n\nlinear_operator = pykry.LinearOperator((n, n), float, dot=lambda x: dot, dot_adj=dot)\nb = numpy.ones(n)\nout = pykry.cg(linear_operator, b)\n```\n\n\n\n### Installation\n\npykry is [available from the Python Package\nIndex](https://pypi.org/project/pykry/), so simply type\n```\npip install -U pykry\n```\nto install or upgrade.\n\n### Testing\n\nTo run the pykry unit tests, check out this repository and type\n```\npytest\n```\n\n### Distribution\n\nTo create a new release\n\n1. bump the `__version__` number,\n\n2. publish to PyPi and GitHub:\n    ```\n    make publish\n    ```\n\n### License\n\npykry is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).\n\n\n",
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