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        "description": "pyblock\n=======\n\n`pyblock` is a python module for performing a reblocking analysis on\nserially-correlated data.\n\nThe algorithms implemented in `pyblock` are not new; please see the documentation for\nreferences.\n\npyblock is compatible with (and tested on!) python 2.7 and python 3.3-3.4 and should work\non any other version supported by `pandas`.\n\n.. image:: https://travis-ci.org/jsspencer/pyblock.svg?branch=master\n    :target: https://travis-ci.org/jsspencer/pyblock\n\nDocumentation\n-------------\n\nDocumentation and a simple tutorial can be found in the docs subdirectory and on\n`readthedocs <http://pyblock.readthedocs.org>`_.\n\nInstallation\n------------\n\n`pyblock` can be used simply by adding to `$PYTHONPATH`.  Alternatively, it can be\ninstalled using distutils by running:\n\n::\n\n    $ pip install /path/to/pyblock\n\nwhere `/path/to/` is the (relative or absolute) path to the directory containing\n`pyblock`.  To install an editable version (useful for development work) do:\n\n::\n\n    $ pip install -e /path/to/pyblock\n\n`pyblock` can also be installed from PyPI:\n\n::\n\n    $ pip install pyblock\n\n`pyblock` requires numpy and (optionally) pandas and matplotlib.  Please see the\ndocumentation for more details.\n\nLicense\n-------\n\nModified BSD license; see LICENSE for more details.\n\nPlease cite ``pyblock, James Spencer, http://github.com/jsspencer/pyblock`` if used to\nanalyse data for an academic publication.\n\nAuthor\n------\n\nJames Spencer, Imperial College London\n\nContributing\n------------\n\nContributions are extremely welcome, either by raising an issue or contributing code.\nFor code contributions, please try to follow the following points:\n\n#. Divide commits into logical units (e.g. don't mix feature development with\n   refactoring).\n#. Ensure all existing tests pass.\n#. Create tests for new functionality.  I aim for complete test coverage.\n   (Currently the only function not tested is one that creates plots.)\n#. Write nice git commit messages (see `Tim Pope's advice <http://tbaggery.com/2008/04/19/a-note-about-git-commit-messages.html>`_.)\n#. Send a pull request!\n\nAcknowledgments\n---------------\n\nWill Vigor (Imperial College London) pointed out and wrote an early implementation of\nthe algorithm to detect the optimal reblock length.\n\nTom Poole (Imperial College London) contributed code to handle weighted averages.\n\nThe HANDE FCIQMC/CCMC development team made several helpful comments and suggestions.\n",
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