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        "description": "tweedie is a Python library implementing scipy's ``rv_continuous`` class\nfor the Tweedie family. The Tweedie family is a member of the exponential\ndispersion model family and is commonly used in the insurance indsutry\nto model claim amounts for insurance policies (exposure).\n\nThe main focus of this package is the compound-Poisson behavior,\nspecifically where :math:`1 < p < 2`. However, it should be possible to\ncalculate the distribution for all the possible values of p.\n\n.. image:: https://travis-ci.org/thequackdaddy/tweedie.png?branch=master\n   :target: https://travis-ci.org/thequackdaddy/tweedie\n\n.. image:: http://codecov.io/github/thequackdaddy/tweedie/coverage.svg?branch=master\n   :target: http://codecov.io/github/thequackdaddy/tweedie?branch=master\n\nDocumentation:\n  Some of the functions are well documented. Others, not so well. In future\n  versions, I might try to publish.\n\nDownloads:\n  https://github.com/thequackdaddy/tweedie\n\nDependencies:\n  * Python (2.7, or 3.4+)\n  * numpy\n  * scipy\n\nOptional dependencies:\n  * pytest: needed to run tests\n\nInstall:\n  At the moment, ``python setup.py install`` will work. I'll try to put this on\n  pypi at some point in the future.\n\nCode and bug tracker:\n  https://github.com/thequackdaddy/tweedie\n\nLicense:\n  2-clause BSD, see LICENSE.txt for details.\n",
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