sacc


Namesacc JSON
Version 0.16 PyPI version JSON
download
home_pagehttps://github.com/LSSTDESC/sacc
SummarySACC - the LSST/DESC summary statistic data format library
upload_time2024-09-19 10:19:58
maintainerNone
docs_urlNone
authorLSST DESC
requires_pythonNone
licenseNone
keywords
VCS
bugtrack_url
requirements scipy numpy numpydoc astropy qp-prob
Travis-CI No Travis.
coveralls test coverage No coveralls.
            Sacc
====

SACC (Save All Correlations and Covariances) is a format and reference library for general storage
of summary statistic measurements for the Dark Energy Science Collaboration (DESC) within the Large Synoptic
Survey Telescope (LSST) project.


Installation
------------

You can install sacc with the command:

``pip install sacc``

(For local installation you might need to add `--user`)

Or for development versions you can download the repository with git and install from there using ``python setup.py install``


Documentation & Examples
------------------------

Documentation can be found [on ReadTheDocs](https://sacc.readthedocs.io/en/latest/).

The [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.

If 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.

Versions
--------

The current release is [version 0.12](https://github.com/LSSTDESC/sacc/releases/tag/0.12).

You can find a list of [previous releases here](https://github.com/LSSTDESC/sacc/releases).  The releases above 0.2 are all backwards compatible; 0.1 is a previous version of the format.

The master branch includes more recent (non-released) development changes.


Citation
--------

Sacc 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.

The core developers of Sacc are Joe Zuntz (maintainer), David Alonso, and Matt Becker.



            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/LSSTDESC/sacc",
    "name": "sacc",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": null,
    "author": "LSST DESC",
    "author_email": "joezuntz@googlemail.com",
    "download_url": "https://files.pythonhosted.org/packages/7b/a9/f35459853868df0e8e569274635b9b2827f8b5d2d76b8df5d46aca15f4c0/sacc-0.16.tar.gz",
    "platform": null,
    "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 0.12](https://github.com/LSSTDESC/sacc/releases/tag/0.12).\n\nYou can find a list of [previous releases here](https://github.com/LSSTDESC/sacc/releases).  The releases above 0.2 are all backwards 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.\n\n\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "SACC - the LSST/DESC summary statistic data format library",
    "version": "0.16",
    "project_urls": {
        "Homepage": "https://github.com/LSSTDESC/sacc"
    },
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "7ba9f35459853868df0e8e569274635b9b2827f8b5d2d76b8df5d46aca15f4c0",
                "md5": "17975204798cb95342d31824bcfeb466",
                "sha256": "4eea7833da5cd2c02b6b883e8ff5ce41794b04a078c167839a956528bac34221"
            },
            "downloads": -1,
            "filename": "sacc-0.16.tar.gz",
            "has_sig": false,
            "md5_digest": "17975204798cb95342d31824bcfeb466",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 364017,
            "upload_time": "2024-09-19T10:19:58",
            "upload_time_iso_8601": "2024-09-19T10:19:58.247939Z",
            "url": "https://files.pythonhosted.org/packages/7b/a9/f35459853868df0e8e569274635b9b2827f8b5d2d76b8df5d46aca15f4c0/sacc-0.16.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-09-19 10:19:58",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "LSSTDESC",
    "github_project": "sacc",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [
        {
            "name": "scipy",
            "specs": []
        },
        {
            "name": "numpy",
            "specs": [
                [
                    ">=",
                    "1.20"
                ]
            ]
        },
        {
            "name": "numpydoc",
            "specs": []
        },
        {
            "name": "astropy",
            "specs": []
        },
        {
            "name": "qp-prob",
            "specs": []
        }
    ],
    "lcname": "sacc"
}
        
Elapsed time: 0.38621s