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        "author": "Stefan Otte",
        "author_email": "stefan.otte@gmail.com",
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        "description": "############################################\nnphelper - convenient numpy helper functions\n############################################\n\n|docs| |travis|\n\nThis package contains some convenient helper function for numpy.  Nothing\nfancy, but quite useful.\nIt works with python 2.7, 3.4, and 3.5.\n\n\nInstall\n============\n\nSimply install via ``pip``::\n\n    pip install nphelper\n\n``nphelper`` only depends on ``numpy``.\n\n\nUsage / Features\n================\n\nCreate block arrays (in matlabs's ``[A A; B B]`` spirit):\n\n.. code:: python\n\n    >>> from nphelper import block\n    >>> A = np.array([[1, 2, 3]])\n    >>> B = np.array([[2, 3, 4]])\n    >>> C = np.ones((2, 6))\n    >>> block([[A, B], [C]])\n    array([[1, 2, 3, 2, 3, 4],\n          [[1, 1, 1, 1, 1, 1],\n          [[1, 1, 1, 1, 1, 1]])\n\nCompute the cartesian product (similar to ``itertools.product``):\n\n.. code:: python\n\n    >>> from nphelper import cartesian_product\n    >>> cartesian_product([[1, 2], [3, 4]])\n    array([[1, 3],\n           [1, 4],\n           [2, 3],\n           [2, 4]])\n\nEasily multiply many arrays without the cubersome ``dot`` syntax. It's also\nmuch faster than dot because it selects the fastest evaluation order.\n(This is part of numpy 1.10.0.)\n\n.. code:: python\n\n    >>> from nphelper import multi_dot\n    >>> A = np.random.random((10000, 100))\n    >>> B = np.random.random((100, 1000))\n    >>> C = np.random.random((1000, 5))\n    >>> D = np.random.random((5, 333))\n    >>> # Sick of this?\n    >>> np.dot(np.dot(np.dot(A, B), C), D)  # doctest: +SKIP\n    >>> # Or this?\n    >>> A.dot(B).dot(C).dot(D)  # doctest: +SKIP\n    >>> # Use multi_dot\n    >>> multi_dot([A, B, C, D])  # doctest: +SKIP\n\n- TODO along, maxalong, minalong, sumalong, meanalong, stdalong, varalong\n\n\nDev\n===\n\nRun the tests\n-------------\n\nRun ``tox`` to run the tests for python 2.7, 3.4, and 3.5::\n\n    tox\n\nYou might have to install addiotional dependencies to run the tests::\n\n- ``py.test``,\n- ``nose``,\n- ``python2.7-dev``,\n- ``python3.4-dev``, and\n- ``python3.5-dev``.\n\nBuild the Docs\n--------------\n\n::\n\n    cd doc\n    make html\n\nYou might have to install addiotional dependencies::\n\n    pip install sphinx sphinx_rtd_theme\n\n\n\n.. ============================================================================\n.. Links\n\n.. |docs| image:: https://readthedocs.org/projects/nphelper/badge/?version=latest\n    :target: http://nphelper.readthedocs.org/en/latest/?badge=latest\n    :alt: Documentation Status\n\n.. |travis| image:: https://travis-ci.org/sotte/nphelper.svg?branch=master\n    :target: https://travis-ci.org/sotte/nphelper",
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        "license": "MIT",
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        "name": "nphelper",
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