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        "description": "Sacc\n====\n\nSACC (Save All Correlations and Covariances) is a format and reference library for general storage\nof summary statistic measurements for the Dark Energy Science Collaboration (DESC) within the Large Synoptic\nSurvey Telescope (LSST) project.\n\n\nInstallation\n------------\n\nYou can install sacc with the command:\n\n``pip install sacc``\n\n(For local installation you might need to add `--user`)\n\nOr for development versions you can download the repository with git and install from there using ``python setup.py install``\n\n\nDocumentation & Examples\n------------------------\n\nDocumentation can be found [on ReadTheDocs](https://sacc.readthedocs.io/en/latest/).\n\nThe [examples directory](https://github.com/LSSTDESC/sacc/tree/master/examples) on github contains ipython notebooks showing various ways of constructing and using sacc data files.\n\nIf you have a problem you've not been able to debug, or a feature request/suggestion the you can [open an issue](https://github.com/LSSTDESC/sacc/issues) to discuss it.\n\nVersions\n--------\n\nThe current release is [version 0.2.2](https://github.com/LSSTDESC/sacc/releases/tag/0.2.2).\n\nYou can find a list of [previous releases here](https://github.com/LSSTDESC/sacc/releases).  The 0.2 series releases are all compatible; 0.1 is a previous version of the format.\n\nThe master branch includes more recent (non-released) development changes.\n\n\nCitation\n--------\n\nSacc has been submitted to the [Astrophysics Source Code Library](https://ascl.net/code/v/2277); follow the link that will appear there to NASA ADS to export a bibtex citation.\n\nThe core developers of Sacc are Joe Zuntz (maintainer), David Alonso, and Matt Becker.",
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