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        "description": "==========\nGerryChain\n==========\n\n.. image:: https://circleci.com/gh/mggg/GerryChain.svg?style=svg\n    :target: https://circleci.com/gh/mggg/GerryChain\n    :alt: Build Status\n.. image:: https://codecov.io/gh/mggg/GerryChain/branch/master/graph/badge.svg\n    :target: https://codecov.io/gh/mggg/GerryChain\n    :alt: Code Coverage\n.. image:: https://readthedocs.org/projects/gerrychain/badge/?version=latest\n    :target: https://gerrychain.readthedocs.io/en/latest\n    :alt: Documentation Status\n.. image:: https://badge.fury.io/py/gerrychain.svg\n    :target: https://pypi.org/project/gerrychain/\n    :alt: PyPI Package\n.. image:: https://img.shields.io/conda/vn/conda-forge/gerrychain.svg?color=%230099cd\n    :target: https://anaconda.org/conda-forge/gerrychain\n    :alt: conda-forge Package\n\nGerryChain is a Python library for building ensembles of districting plans\nusing `Markov chain Monte Carlo`_. It is developed and maintained by the\n`Metric Geometry and Gerrymandering Group`_ and our network of volunteers.\nIt is distributed under the `3-Clause BSD License`_.\n\nThe basic workflow is to start with the geometry of an initial plan and\ngenerate a large collection of sample plans for comparison. Usually, we\nwill constrain these sampled plans in such a way that they perform at\nleast as well as the initial plan according to traditional districting\nprinciples, such as population balance or compactness. Comparing the\ninitial plan to the ensemble provides quantitative tools for measuring\nwhether or not it is an outlier among the sampled plans.\n\n.. _`Voting Rights Data Institute`: http://gerrydata.org/\n.. _chain: https://github.com/gerrymandr/cfp_mcmc\n.. _`Markov chain Monte Carlo`: https://en.wikipedia.org/wiki/Markov_chain_Monte_Carlo\n.. _`Metric Geometry and Gerrymandering Group`: https://www.mggg.org/\n.. _`3-Clause BSD License`: https://opensource.org/licenses/BSD-3-Clause\n\n\nGetting started\n===============\n\nSee our `Getting started guide`_ for the basics of using GerryChain.\n\n.. _`Getting started guide`: https://gerrychain.readthedocs.io/en/latest/user/quickstart.html\n\nWe also highly recommend the resources prepared by Daryl R. DeFord of MGGG\nfor the 2019 MIT IAP course `Computational Approaches for Political Redistricting`_.\n\n.. _`Computational Approaches for Political Redistricting`: https://people.csail.mit.edu/ddeford//CAPR.php\n\n\nUseful links\n============\n\n- `Documentation`_\n- `Bug reports and feature requests`_\n- `Contributions welcome!`_\n\n.. _`Documentation`: https://gerrychain.readthedocs.io/en/latest/\n.. _`Bug reports and feature requests`: https://github.com/mggg/gerrychain/issues\n.. _`Contributions welcome!`: https://github.com/mggg/gerrychain/pulls\n\n\nInstallation\n============\n\nUsing conda (recommended)\n-------------------------\n\nTo install GerryChain from conda-forge_ using conda_, run\n\n.. code-block:: console\n\n    conda install -c conda-forge gerrychain\n\nFor this command to work as intended, you will first need to activate\nthe conda environment that you want to install GerryChain in. If\nthe environment you want to activate is called ``vrdi`` (for example),\nthen you can do this by running\n\n.. code-block:: console\n\n    conda activate vrdi\n\nIf this command causes problems, make sure conda is up-to-date by\nrunning\n\n.. code-block:: console\n\n    conda update conda\n    conda init\n\nFor more information on using conda to install packages and manage\ndependencies, see `Getting started with conda`_.\n\n.. _`Getting started with conda`: https://conda.io/projects/conda/en/latest/user-guide/getting-started.html\n.. _conda: https://conda.io/projects/conda/en/latest/\n.. _conda-forge: https://conda-forge.org/\n\nUsing ``pip``\n-------------\n\nTo install GerryChain from PyPI_, run ``pip install gerrychain`` from\nthe command line.\n\nThis approach often fails due to compatibility issues between our\ndifferent Python GIS dependencies, like ``geopandas``, ``pyproj``,\n``fiona``, and ``shapely``. For this reason, we recommend installing\nfrom conda-forge for most users.\n\n.. _PyPI: https://pypi.org/\n\n\n",
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