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        "author": "Mark Mikofski",
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        "description": ".. image:: https://travis-ci.org/SunPower/UncertaintyWrapper.svg?branch=master\n    :target: https://travis-ci.org/SunPower/UncertaintyWrapper\n    \nUncertaintyWrapper\n==================\n\nUse ``@unc_wrapper`` decorator to wrap any Python callable to append the\ncovariance and Jacobian matrices to the return values. See documentation and\ntests for usage and examples.\n\nInstallation\n------------\n\nUse ``pip install UncertaintyWrapper`` to install from\n`PyPI <https://pypi.python.org/pypi/UncertaintyWrapper>`_ or download a source\ndistribution, extract and use ``python setup.py install``.\n\nRequirements\n------------\n\n* `NumPy <http://www.numpy.org/>`_\n\nOptional Requirements\n~~~~~~~~~~~~~~~~~~~~~\n\n* `Nose <https://nose.readthedocs.org/en/latest/index.html>`_ for testing.\n* `Sphinx <http://www.sphinx-doc.org/en/stable/>`_ to build documentation.\n* `NREL SOLPOS <http://rredc.nrel.gov/solar/codesandalgorithms/solpos/>`_ for testing\n* `AlgoPy <https://pythonhosted.org/algopy/>`_ for testing\n\nUsage\n-----\n\nExample::\n\n    from uncertainty_wrapper import unc_wraper\n    import numpy as np\n\n    @unc_wrapper\n    def f(x):\n        return np.exp(x)\n\n    x, cov = np.array([[1.0]]), np.array([[0.1]])\n    f(x, __covariance__=cov)\n\nReturns::\n\n    (array([[ 2.71828183]]),      # exp(1.0)\n     array([[[ 0.73890561]]]),    # (delta-f)^2 = (df/dx)^2 * (delta-x)^2\n     array([[[ 2.71828183]]]))    # df/dx = exp(x)\n\n\nHistory\n-------\nReleases are named after\n`geological eons, periods and epochs <https://en.wikipedia.org/wiki/Geologic_time_scale>`_.\n\n`v0.4.1 <https://github.com/SunPower/UncertaintyWrapper/releases/tag/v0.4.1>`_ `Paleozoic Era <https://en.wikipedia.org/wiki/Paleozoic>`_\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n* Jagged arrays of covariance keys work now.\n* simplify\n\n`v0.4 <https://github.com/SunPower/UncertaintyWrapper/releases/tag/v0.4>`_ `Phanerozoic Era <https://en.wikipedia.org/wiki/Phanerozoic>`_\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n* Fixes #5, ``ValueError`` if covariance keys have multiple observations\n* fix covariance cross terms not scaled correctly\n\n`v0.3.3 <https://github.com/SunPower/UncertaintyWrapper/releases/tag/v0.3.3>`_ `Neoproterozoic Era <https://en.wikipedia.org/wiki/Neoproterozoic>`_\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n* Fixes #4, ``ValueError`` if just one observation\n\n`v0.3.2 <https://github.com/SunPower/UncertaintyWrapper/releases/tag/v0.3.2>`_ `Mesoproterozoic Era <https://en.wikipedia.org/wiki/Mesoproterozoic>`_\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n* Fixes #2, don't need to tile scalar x for multiple observations\n* Fixes #3, use sparse matrices for dot product instead of dense\n* uses pvlib example instead of proprietary solar_utils\n\n\n`v0.3.1 <https://github.com/SunPower/UncertaintyWrapper/releases/tag/v0.3.1>`_ `Paleoproterozoic Era <https://en.wikipedia.org/wiki/Paleoproterozoic>`_\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n* Fixes #1 works with Pint's @ureg.wraps()\n* Use indices for positional arguments. Don't use inspect.argspec since not\n  guaranteed to be the same for wrapped or decorated functions\n* Test Jacobian estimate for IV with `AlgoPy <https://pythonhosted.org/algopy/>`_\n* Show Jacobian errors plot in getting started docs.\n\n\n`v0.3 <https://github.com/SunPower/UncertaintyWrapper/releases/tag/v0.3>`_ `Proterozoic Eon <https://en.wikipedia.org/wiki/Proterozoic>`_\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n* new ``unc_wrapper_args()`` allows selection of independent variables that the\n  partial derivatives are with respect to and also grouping those arguments\n  together so that in the original function they can stay unpacked.\n* return values are grouped correctly so that they can remain unpacked in\n  original function. These allow Uncertainty Wrapper to be used with\n  `Pint's wrapper <http://pint.readthedocs.org/en/latest/wrapping.html>`_\n* covariance now specified as dimensionaless fraction of square of arguments\n* more complex tests: IV curve and solar position (requires\n  `NREL's solpos <http://rredc.nrel.gov/solar/codesandalgorithms/solpos/>`_)\n\n\n`v0.2.1 <https://github.com/SunPower/UncertaintyWrapper/releases/tag/v0.2>`_ `Eoarchean Era <https://en.wikipedia.org/wiki/Eoarchean>`_\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n* update documentation\n\n\n`v0.2 <https://github.com/SunPower/UncertaintyWrapper/releases/tag/v0.2>`_ `Archean Eon <https://en.wikipedia.org/wiki/Archean>`_\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n* Fix nargs and nf order mixup in Jacobian\n* add more complex test\n* fix tile cov by nobs\n* move partial derivative to subfunction\n* try threading, but same speed, and would only work with NumPy anyway\n\n\n`v0.1 <https://github.com/SunPower/UncertaintyWrapper/releases/tag/v0.1>`_ `Hadean Eon <https://en.wikipedia.org/wiki/Hadean>`_\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n* adds covariance to output\n* allows __covariance__ to be passed as input\n* uses estimate Jacobian based on central finite difference method",
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