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        "description": ".. image:: https://travis-ci.org/AllenInstitute/EM_aligner_python.svg?branch=master\n   :target: https://travis-ci.org/AllenInstitute/EM_aligner_python\n   :alt: Build Status\n.. image:: https://codecov.io/gh/AllenInstitute/EM_aligner_python/branch/master/graph/badge.svg\n  :target: https://codecov.io/gh/AllenInstitute/EM_aligner_python\n.. image:: https://readthedocs.org/projects/em-aligner-python/badge/?version=latest\n  :target: https://em-aligner-python.readthedocs.io/en/latest/?badge=latest\n  :alt: Documentation Status\n\nNOTE\n####\n\nThis package has been renamed BigFeta and this repo/package will no longer be updated.\nThe new repository:\n\nhttps://github.com/AllenInstitute/BigFeta\n\nThe new package:\nhttps://pypi.org/project/bigfeta/\n  \n\nEM_aligner_python\n#################\n\nAlignment of EM datasets. Builds sparse matrices from tilespecs and pointmatch collections and solves for new transforms using constrained linear least squares.\n\nLevel of support\n################\nWe are planning on occasional updating this tool with no fixed schedule. Community involvement is encouraged through both issues and pull requests.\n\nDocumentation\n#############\nhttps://em-aligner-python.readthedocs.io/en/latest/index.html\n\nAcknowledgement of Government Sponsorship\n#########################################\n\nSupported by the Intelligence Advanced Research Projects Activity (IARPA) via Department of Interior / Interior Business Center (DoI/IBC) contract number D16PC00004. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. Disclaimer: The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, DoI/IBC, or the U.S. Government.\n\n\n",
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