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        "author": "Paul T. Baker",
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            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Scientific/Engineering"
        ],
        "description": "======\nceedub\n======\n|py27| |py35| |py36|\n\n.. |py27| image:: https://img.shields.io/badge/python-2.7-blue.svg\n.. |py35| image:: https://img.shields.io/badge/python-3.5-blue.svg\n.. |py36| image:: https://img.shields.io/badge/python-3.6-blue.svg\n\n.. image:: https://img.shields.io/pypi/v/ceedub.svg\n        :target: https://pypi.python.org/pypi/ceedub\n        :alt: PyPI status\n\n.. image:: https://img.shields.io/travis/paulthebaker/ceedub.svg\n        :target: https://travis-ci.org/paulthebaker/ceedub\n        :alt: Build Status\n\n.. image:: https://readthedocs.org/projects/ceedub/badge/?version=latest\n        :target: https://ceedub.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n.. image:: https://pyup.io/repos/github/paulthebaker/ceedub/shield.svg\n     :target: https://pyup.io/repos/github/paulthebaker/ceedub/\n     :alt: Developement Tool Updates\n\n\nAn awesome, simple, and easy to use continuous wavelet transform package for python!\n\n\n* Free software: MIT license\n* Documentation: https://ceedub.readthedocs.io.\n\nTo install the latest stable release ``v0.1.0 -- alpha`` from PyPI run:\n\n``pip install ceedub``\n\nTo install the most current version with ``pip`` directly from github run:\n\n``pip install git+https://github.com/paulthebaker/ceedub@master``\n\nFeatures\n--------\n\n* continuous wavelet transforms (forward and inverse) in python\n* arbitrary user defined wavelet basis functions (provides Morlet-Gabor and Paul wavelets)\n* follows the conventions of Torrence and Compo [T&C1998]_.\n\n.. [T&C1998] https://doi.org/10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2\n\nCredits\n---------\n\nCopyright (c) 2017 Paul T. Baker\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n\n=======\nHistory\n=======\n\n0.1.0 (2017-09-19)\n------------------\n\n* First release on PyPI.\n\n\n0.0.0 (2017-09-18)\n------------------\n\n* initial release\n",
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