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        "description": "for multi-level species. The level populations can be used to compute\ncooling function. Frigus allow for computing cooling functions\nparameterized by gas density, kinetic temperature and radiation\ntemperatures.\nHome-page: https://github.com/mherkazandjian/frigus\nAuthor: Carla Maria Coppola\nAuthor-email: carla.coppola@uniba.it\nLicense: UNKNOWN\nDownload-URL: https://github.com/mherkazandjian/frigus/archive/master.zip\nDescription-Content-Type: UNKNOWN\nDescription: [![Build Status](https://travis-ci.org/mherkazandjian/frigus.svg?branch=master)](https://travis-ci.org/mherkazandjian/frigus)\n        \n        FRIGUS\n        ======\n        \n        Package for computing the equilibrium and time-dependent level populations of\n        species. The level populations are used to compute the cooling function that\n        are parametrized in terms of the gas density and the kinetic and radiation\n        temperatures.\n        \n        Obtaining\n        ---------\n        \n        https://github.com/mherkazandjian/frigus\n        \n        Installation\n        ------------\n        \n        There are several way for installing frigus. For users the easiest way\n        is to install ``Frigus`` through ``pip`` via:\n        \n            pip install frigus\n        \n        \n        Tests\n        -----\n        \n        The tests can be run by executing\n        \n           make test\n        \n        in the directory ``src/python``.\n        \n        Input data\n        ----------\n        \n        The species data are located in the ``data`` directory. Each subdirectory\n        correspends to a certain set of data. The sub-directories ``data/two_levels_1``\n        and ``data/three_levels_1`` can be used as tempates to construct datasets for\n        sophisticated species.\n        \n        \n        \nKeywords: physics,ism,radiative transfer,cooling,heating,collisional reaction rates\nPlatform: UNKNOWN\nClassifier: Development Status :: 1 - Planning\nClassifier: Environment :: Console\nClassifier: Intended Audience :: Developers\nClassifier: License :: OSI Approved :: MIT License\nClassifier: Natural Language :: English\nClassifier: Operating System :: OS Independent\nClassifier: Programming Language :: Python :: 2.7\nClassifier: Programming Language :: Python :: 3.5\nClassifier: Programming Language :: Python :: 3.6\nClassifier: Programming Language :: Python :: Implementation :: PyPy\nClassifier: Topic :: Documentation\nClassifier: Topic :: Software Development :: Libraries :: Python Modules\nClassifier: Topic :: System :: Installation/Setup\nClassifier: Topic :: System :: Software Distribution\n",
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