{ "info": { "author": "Matt Morse, Paul Glenn", "author_email": "mjmorse@buffalo.edu, paulglen@berkeley.edu", "bugtrack_url": null, "classifiers": [], "description": "Metric in the Curve Complex: MICC\n=================================\n.. image:: https://travis-ci.org/MICC/MICC.svg?branch=master\n :target: https://travis-ci.org/MICC/MICC\n\nThe curve complex is a simplicial complex composed of vertices representing equivalency classes of isotopic \nsimple closed curves on a surface of fixed genus and of edges drawn between vertices if classes contain a disjoint \nrepresentative. MICC is a tool designed to compute short distances between these disjoint representatives, based \non an intuitive disk-with-handles represntation of a surface.\n\nInstallation\n------------\nInstalling through pip is recommended to use the programmatic interface:\n::\n\n $ pip install micc\n\nOtherwise, the command line interface for MICC is available `here `_.\n\nGetting Started\n---------------\nExample useage of MICC:\n\n.. code-block:: python\n\n from micc.curvepair import CurvePair\n\n top = [21,7,8,9,10,11,22,23,24,0,1,2,3,4,5,6,12,13,14,15,16,17,18,19,20]\n bottom = [9,10,11,12,13,14,15,1,2,3,4,5,16,17,18,19,20,21,22,23,24,0,6,7,8]\n test = CurvePair(top, bottom)\n print test.distance\n\nDocumentation\n-------------\nTODO\n\nLicense\n-------\nCopyright 2014 Matt Morse and Paul Glenn.\n\nMICC is licensed under the `MIT License `_.", "description_content_type": null, "docs_url": null, "download_url": "https://github.com/micc/micc", "downloads": { "last_day": -1, "last_month": -1, 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