pyerfa


Namepyerfa JSON
Version 2.0.1.5 PyPI version JSON
download
home_pageNone
SummaryPython bindings for ERFA
upload_time2024-11-11 15:22:30
maintainerNone
docs_urlNone
authorThe PyERFA Developers
requires_python>=3.9
licenseBSD 3-Clause License
keywords astronomy astrophysics cosmology space science coordinate
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ======
PyERFA
======

|PyPI Status| |Zenodo| |CI Status| |Documentation Status|

PyERFA is the Python_ wrapper for the ERFA_ library (Essential Routines for
Fundamental Astronomy), a C library containing key algorithms for astronomy,
which is based on the SOFA library published by the International Astronomical
Union (IAU).  All C routines are wrapped as Numpy_ `universal functions
<https://numpy.org/devdocs/reference/ufuncs.html>`_, so that they can be
called with scalar or array inputs.

The project is a split of ``astropy._erfa`` module, developed in the
context of Astropy_ project, into a standalone package.  It contains
the ERFA_ C source code as a git submodule.  The wrapping is done
with help of the Jinja2_ template engine.

If you use this package in your research, please cita it via DOI
`10.5281/zenodo.3940699 <https://doi.org/10.5281/zenodo.3940699>`_.

.. Installation

Installation instructions
-------------------------

The package can be installed from the package directory using a simple::

  $ pip install .

and similarly a wheel_ can be created with::

  $ pip wheel .

.. note:: If you already have the C library ``liberfa`` on your
  system, you can use that by setting environment variable
  ``PYERFA_USE_SYSTEM_LIBERFA=1``.


.. _wheel: https://github.com/pypa/wheel

The package can be obtained from PyPI_ or directly from the git repository::

  $ git clone --recursive https://github.com/liberfa/pyerfa/

The package also has nightly wheel that can be obtained as follows::

  $ pip install --upgrade --index-url https://pypi.anaconda.org/liberfa/simple pyerfa --pre

Testing
-------

For testing, one can install the packages together with its testing
dependencies and then test it with::

  $ pip install .[test]
  $ pytest

Alternatively, one can use ``tox``, which will set up a separate testing
environment for you, with::

  $ tox -e test


Usage
-----

The package can be imported as ``erfa`` which has all ERFA_ ufuncs wrapped with
python code that tallies errors and warnings.  Also exposed are the constants
defined by ERFA_ in `erfam.h
<https://github.com/liberfa/erfa/blob/master/src/erfam.h>`_, as well
as `numpy.dtype` corresponding to structures used by ERFA_.  Examples::

  >>> import erfa
  >>> erfa.jd2cal(2460000., [0, 1, 2, 3])
  (array([2023, 2023, 2023, 2023], dtype=int32),
   array([2, 2, 2, 2], dtype=int32),
   array([24, 25, 26, 27], dtype=int32),
   array([0.5, 0.5, 0.5, 0.5]))
  >>> erfa.plan94(2460000., [0, 1, 2, 3], 1)
  array([([ 0.09083713, -0.39041392, -0.21797389], [0.02192341, 0.00705449, 0.00149618]),
         ([ 0.11260694, -0.38275202, -0.21613731], [0.02160375, 0.00826891, 0.00217806]),
         ([ 0.13401992, -0.37387798, -0.21361622], [0.0212094 , 0.00947838, 0.00286503]),
         ([ 0.15500031, -0.36379788, -0.21040601], [0.02073822, 0.01068061, 0.0035561 ])],
        dtype={'names': ['p', 'v'], 'formats': [('<f8', (3,)), ('<f8', (3,))], 'offsets': [0, 24], 'itemsize': 48, 'aligned': True})
  >>> erfa.dt_pv
  dtype([('p', '<f8', (3,)), ('v', '<f8', (3,))], align=True)
  >>> erfa.dt_eraLDBODY
  dtype([('bm', '<f8'), ('dl', '<f8'), ('pv', [('p', '<f8', (3,)), ('v', '<f8', (3,))])], align=True)
  >>> erfa.DAYSEC
  86400.0

It is also possible to use the ufuncs directly, though then one has to
deal with the warning and error states explicitly.  For instance, compare::

  >>> erfa.jd2cal(-600000., [0, 1, 2, 3])
  Traceback (most recent call last):
  ...
  ErfaError: ERFA function "jd2cal" yielded 4 of "unacceptable date (Note 1)"
  >>> erfa.ufunc.jd2cal(-600000., [0, 1, 2, 3])
  (array([-1, -1, -1, -1], dtype=int32),
   ...,
   array([-1, -1, -1, -1], dtype=int32))


License
-------

PyERFA is licensed under a 3-clause BSD style license - see the
`LICENSE.rst <LICENSE.rst>`_ file.


.. References
.. _Python: https://www.python.org/
.. _ERFA: https://github.com/liberfa/erfa
.. _Numpy: https://numpy.org/
.. _Astropy: https://www.astropy.org
.. _PyPI: https://pypi.org/project/pyerfa/
.. _Jinja2: https://palletsprojects.com/p/jinja/
.. |PyPI Status| image:: https://img.shields.io/pypi/v/pyerfa.svg
    :target: https://pypi.python.org/pypi/pyerfa
    :alt: PyPI Status
.. |Zenodo| image:: https://zenodo.org/badge/261332899.svg
   :target: https://zenodo.org/badge/latestdoi/261332899
   :alt: DOI 10.5281/zenodo.3940699
.. |CI Status| image:: https://github.com/liberfa/pyerfa/workflows/CI/badge.svg
    :target: https://github.com/liberfa/pyerfa/actions
    :alt: GitHub Actions CI Status
.. |Documentation Status| image:: https://img.shields.io/readthedocs/pyerfa/latest.svg?logo=read%20the%20docs&logoColor=white&label=Docs&version=stable
    :target: https://pyerfa.readthedocs.io/en/stable/?badge=stable
    :alt: Documentation Status

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "pyerfa",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.9",
    "maintainer_email": null,
    "keywords": "astronomy, astrophysics, cosmology, space, science, coordinate",
    "author": "The PyERFA Developers",
    "author_email": null,
    "download_url": "https://files.pythonhosted.org/packages/71/39/63cc8291b0cf324ae710df41527faf7d331bce573899199d926b3e492260/pyerfa-2.0.1.5.tar.gz",
    "platform": null,
    "description": "======\nPyERFA\n======\n\n|PyPI Status| |Zenodo| |CI Status| |Documentation Status|\n\nPyERFA is the Python_ wrapper for the ERFA_ library (Essential Routines for\nFundamental Astronomy), a C library containing key algorithms for astronomy,\nwhich is based on the SOFA library published by the International Astronomical\nUnion (IAU).  All C routines are wrapped as Numpy_ `universal functions\n<https://numpy.org/devdocs/reference/ufuncs.html>`_, so that they can be\ncalled with scalar or array inputs.\n\nThe project is a split of ``astropy._erfa`` module, developed in the\ncontext of Astropy_ project, into a standalone package.  It contains\nthe ERFA_ C source code as a git submodule.  The wrapping is done\nwith help of the Jinja2_ template engine.\n\nIf you use this package in your research, please cita it via DOI\n`10.5281/zenodo.3940699 <https://doi.org/10.5281/zenodo.3940699>`_.\n\n.. Installation\n\nInstallation instructions\n-------------------------\n\nThe package can be installed from the package directory using a simple::\n\n  $ pip install .\n\nand similarly a wheel_ can be created with::\n\n  $ pip wheel .\n\n.. note:: If you already have the C library ``liberfa`` on your\n  system, you can use that by setting environment variable\n  ``PYERFA_USE_SYSTEM_LIBERFA=1``.\n\n\n.. _wheel: https://github.com/pypa/wheel\n\nThe package can be obtained from PyPI_ or directly from the git repository::\n\n  $ git clone --recursive https://github.com/liberfa/pyerfa/\n\nThe package also has nightly wheel that can be obtained as follows::\n\n  $ pip install --upgrade --index-url https://pypi.anaconda.org/liberfa/simple pyerfa --pre\n\nTesting\n-------\n\nFor testing, one can install the packages together with its testing\ndependencies and then test it with::\n\n  $ pip install .[test]\n  $ pytest\n\nAlternatively, one can use ``tox``, which will set up a separate testing\nenvironment for you, with::\n\n  $ tox -e test\n\n\nUsage\n-----\n\nThe package can be imported as ``erfa`` which has all ERFA_ ufuncs wrapped with\npython code that tallies errors and warnings.  Also exposed are the constants\ndefined by ERFA_ in `erfam.h\n<https://github.com/liberfa/erfa/blob/master/src/erfam.h>`_, as well\nas `numpy.dtype` corresponding to structures used by ERFA_.  Examples::\n\n  >>> import erfa\n  >>> erfa.jd2cal(2460000., [0, 1, 2, 3])\n  (array([2023, 2023, 2023, 2023], dtype=int32),\n   array([2, 2, 2, 2], dtype=int32),\n   array([24, 25, 26, 27], dtype=int32),\n   array([0.5, 0.5, 0.5, 0.5]))\n  >>> erfa.plan94(2460000., [0, 1, 2, 3], 1)\n  array([([ 0.09083713, -0.39041392, -0.21797389], [0.02192341, 0.00705449, 0.00149618]),\n         ([ 0.11260694, -0.38275202, -0.21613731], [0.02160375, 0.00826891, 0.00217806]),\n         ([ 0.13401992, -0.37387798, -0.21361622], [0.0212094 , 0.00947838, 0.00286503]),\n         ([ 0.15500031, -0.36379788, -0.21040601], [0.02073822, 0.01068061, 0.0035561 ])],\n        dtype={'names': ['p', 'v'], 'formats': [('<f8', (3,)), ('<f8', (3,))], 'offsets': [0, 24], 'itemsize': 48, 'aligned': True})\n  >>> erfa.dt_pv\n  dtype([('p', '<f8', (3,)), ('v', '<f8', (3,))], align=True)\n  >>> erfa.dt_eraLDBODY\n  dtype([('bm', '<f8'), ('dl', '<f8'), ('pv', [('p', '<f8', (3,)), ('v', '<f8', (3,))])], align=True)\n  >>> erfa.DAYSEC\n  86400.0\n\nIt is also possible to use the ufuncs directly, though then one has to\ndeal with the warning and error states explicitly.  For instance, compare::\n\n  >>> erfa.jd2cal(-600000., [0, 1, 2, 3])\n  Traceback (most recent call last):\n  ...\n  ErfaError: ERFA function \"jd2cal\" yielded 4 of \"unacceptable date (Note 1)\"\n  >>> erfa.ufunc.jd2cal(-600000., [0, 1, 2, 3])\n  (array([-1, -1, -1, -1], dtype=int32),\n   ...,\n   array([-1, -1, -1, -1], dtype=int32))\n\n\nLicense\n-------\n\nPyERFA is licensed under a 3-clause BSD style license - see the\n`LICENSE.rst <LICENSE.rst>`_ file.\n\n\n.. References\n.. _Python: https://www.python.org/\n.. _ERFA: https://github.com/liberfa/erfa\n.. _Numpy: https://numpy.org/\n.. _Astropy: https://www.astropy.org\n.. _PyPI: https://pypi.org/project/pyerfa/\n.. _Jinja2: https://palletsprojects.com/p/jinja/\n.. |PyPI Status| image:: https://img.shields.io/pypi/v/pyerfa.svg\n    :target: https://pypi.python.org/pypi/pyerfa\n    :alt: PyPI Status\n.. |Zenodo| image:: https://zenodo.org/badge/261332899.svg\n   :target: https://zenodo.org/badge/latestdoi/261332899\n   :alt: DOI 10.5281/zenodo.3940699\n.. |CI Status| image:: https://github.com/liberfa/pyerfa/workflows/CI/badge.svg\n    :target: https://github.com/liberfa/pyerfa/actions\n    :alt: GitHub Actions CI Status\n.. |Documentation Status| image:: https://img.shields.io/readthedocs/pyerfa/latest.svg?logo=read%20the%20docs&logoColor=white&label=Docs&version=stable\n    :target: https://pyerfa.readthedocs.io/en/stable/?badge=stable\n    :alt: Documentation Status\n",
    "bugtrack_url": null,
    "license": "BSD 3-Clause License",
    "summary": "Python bindings for ERFA",
    "version": "2.0.1.5",
    "project_urls": {
        "Homepage": "https://github.com/liberfa/pyerfa"
    },
    "split_keywords": [
        "astronomy",
        " astrophysics",
        " cosmology",
        " space",
        " science",
        " coordinate"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "7dd93448a57cb5bd19950de6d6ab08bd8fbb3df60baa71726de91d73d76c481b",
                "md5": "f32c2a62cd67169b73061cad15d018d5",
                "sha256": "b282d7c60c4c47cf629c484c17ac504fcb04abd7b3f4dfcf53ee042afc3a5944"
            },
            "downloads": -1,
            "filename": "pyerfa-2.0.1.5-cp39-abi3-macosx_10_9_x86_64.whl",
            "has_sig": false,
            "md5_digest": "f32c2a62cd67169b73061cad15d018d5",
            "packagetype": "bdist_wheel",
            "python_version": "cp39",
            "requires_python": ">=3.9",
            "size": 341818,
            "upload_time": "2024-11-11T15:22:16",
            "upload_time_iso_8601": "2024-11-11T15:22:16.467138Z",
            "url": "https://files.pythonhosted.org/packages/7d/d9/3448a57cb5bd19950de6d6ab08bd8fbb3df60baa71726de91d73d76c481b/pyerfa-2.0.1.5-cp39-abi3-macosx_10_9_x86_64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "114a31a363370478b63c6289a34743f2ba2d3ae1bd8223e004d18ab28fb92385",
                "md5": "f09efe991b5afd7fadec635eff31f851",
                "sha256": "be1aeb70390dd03a34faf96749d5cabc58437410b4aab7213c512323932427df"
            },
            "downloads": -1,
            "filename": "pyerfa-2.0.1.5-cp39-abi3-macosx_11_0_arm64.whl",
            "has_sig": false,
            "md5_digest": "f09efe991b5afd7fadec635eff31f851",
            "packagetype": "bdist_wheel",
            "python_version": "cp39",
            "requires_python": ">=3.9",
            "size": 329370,
            "upload_time": "2024-11-11T15:22:17",
            "upload_time_iso_8601": "2024-11-11T15:22:17.829032Z",
            "url": "https://files.pythonhosted.org/packages/11/4a/31a363370478b63c6289a34743f2ba2d3ae1bd8223e004d18ab28fb92385/pyerfa-2.0.1.5-cp39-abi3-macosx_11_0_arm64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "cb96b6210fc624123c8ae13e1eecb68fb75e3f3adff216d95eee1c7b05843e3e",
                "md5": "6fd2dff6167a8824685a4d328d6dce4c",
                "sha256": "b0603e8e1b839327d586c8a627cdc634b795e18b007d84f0cda5500a0908254e"
            },
            "downloads": -1,
            "filename": "pyerfa-2.0.1.5-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
            "has_sig": false,
            "md5_digest": "6fd2dff6167a8824685a4d328d6dce4c",
            "packagetype": "bdist_wheel",
            "python_version": "cp39",
            "requires_python": ">=3.9",
            "size": 692794,
            "upload_time": "2024-11-11T15:22:19",
            "upload_time_iso_8601": "2024-11-11T15:22:19.429496Z",
            "url": "https://files.pythonhosted.org/packages/cb/96/b6210fc624123c8ae13e1eecb68fb75e3f3adff216d95eee1c7b05843e3e/pyerfa-2.0.1.5-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "e5e0050018d855d26d3c0b4a7d1b2ed692be758ce276d8289e2a2b44ba1014a5",
                "md5": "9165a1d6f1538d2a3c2ecb2045a41665",
                "sha256": "0e43c7194e3242083f2350b46c09fd4bf8ba1bcc0ebd1460b98fc47fe2389906"
            },
            "downloads": -1,
            "filename": "pyerfa-2.0.1.5-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
            "has_sig": false,
            "md5_digest": "9165a1d6f1538d2a3c2ecb2045a41665",
            "packagetype": "bdist_wheel",
            "python_version": "cp39",
            "requires_python": ">=3.9",
            "size": 738711,
            "upload_time": "2024-11-11T15:22:20",
            "upload_time_iso_8601": "2024-11-11T15:22:20.661957Z",
            "url": "https://files.pythonhosted.org/packages/e5/e0/050018d855d26d3c0b4a7d1b2ed692be758ce276d8289e2a2b44ba1014a5/pyerfa-2.0.1.5-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b9f5ff91ee77308793ae32fa1e1de95e9edd4551456dd888b4e87c5938657ca5",
                "md5": "fee2cfe552fb0e3292f4b9015c9ca551",
                "sha256": "07b80cd70701f5d066b1ac8cce406682cfcd667a1186ec7d7ade597239a6021d"
            },
            "downloads": -1,
            "filename": "pyerfa-2.0.1.5-cp39-abi3-musllinux_1_2_x86_64.whl",
            "has_sig": false,
            "md5_digest": "fee2cfe552fb0e3292f4b9015c9ca551",
            "packagetype": "bdist_wheel",
            "python_version": "cp39",
            "requires_python": ">=3.9",
            "size": 722966,
            "upload_time": "2024-11-11T15:22:21",
            "upload_time_iso_8601": "2024-11-11T15:22:21.905568Z",
            "url": "https://files.pythonhosted.org/packages/b9/f5/ff91ee77308793ae32fa1e1de95e9edd4551456dd888b4e87c5938657ca5/pyerfa-2.0.1.5-cp39-abi3-musllinux_1_2_x86_64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "2c56b22b35c8551d2228ff8d445e63787112927ca13f6dc9e2c04f69d742c95b",
                "md5": "18c34b4edc1096948650aabea2ad1ca1",
                "sha256": "d30b9b0df588ed5467e529d851ea324a67239096dd44703125072fd11b351ea2"
            },
            "downloads": -1,
            "filename": "pyerfa-2.0.1.5-cp39-abi3-win32.whl",
            "has_sig": false,
            "md5_digest": "18c34b4edc1096948650aabea2ad1ca1",
            "packagetype": "bdist_wheel",
            "python_version": "cp39",
            "requires_python": ">=3.9",
            "size": 339955,
            "upload_time": "2024-11-11T15:22:23",
            "upload_time_iso_8601": "2024-11-11T15:22:23.087856Z",
            "url": "https://files.pythonhosted.org/packages/2c/56/b22b35c8551d2228ff8d445e63787112927ca13f6dc9e2c04f69d742c95b/pyerfa-2.0.1.5-cp39-abi3-win32.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b41197233cf23ad5411ac6f13b1d6ee3888f90ace4f974d9bf9db887aa428912",
                "md5": "272ccd5c0eea6d6b9332cc61d45601f2",
                "sha256": "66292d437dcf75925b694977aa06eb697126e7b86553e620371ed3e48b5e0ad0"
            },
            "downloads": -1,
            "filename": "pyerfa-2.0.1.5-cp39-abi3-win_amd64.whl",
            "has_sig": false,
            "md5_digest": "272ccd5c0eea6d6b9332cc61d45601f2",
            "packagetype": "bdist_wheel",
            "python_version": "cp39",
            "requires_python": ">=3.9",
            "size": 349410,
            "upload_time": "2024-11-11T15:22:24",
            "upload_time_iso_8601": "2024-11-11T15:22:24.817471Z",
            "url": "https://files.pythonhosted.org/packages/b4/11/97233cf23ad5411ac6f13b1d6ee3888f90ace4f974d9bf9db887aa428912/pyerfa-2.0.1.5-cp39-abi3-win_amd64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "983202fe8bf940d8ce2cc482c48056ccc6b64628f622a56fa773810199637fa8",
                "md5": "4720bd985d010f46344515e5d72b3b87",
                "sha256": "4991dee680ff36c87911d8faa4c7d1aa6278ad9b5e0d16158cf22fa7d74ba25c"
            },
            "downloads": -1,
            "filename": "pyerfa-2.0.1.5-pp39-pypy39_pp73-macosx_10_15_x86_64.whl",
            "has_sig": false,
            "md5_digest": "4720bd985d010f46344515e5d72b3b87",
            "packagetype": "bdist_wheel",
            "python_version": "pp39",
            "requires_python": ">=3.9",
            "size": 321082,
            "upload_time": "2024-11-11T15:22:26",
            "upload_time_iso_8601": "2024-11-11T15:22:26.773772Z",
            "url": "https://files.pythonhosted.org/packages/98/32/02fe8bf940d8ce2cc482c48056ccc6b64628f622a56fa773810199637fa8/pyerfa-2.0.1.5-pp39-pypy39_pp73-macosx_10_15_x86_64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "119eee706b5fc5b5a72e31283f66e68730abf802469bbc373ff0d05e68d7e2df",
                "md5": "f85040e722cc0462f4382a16b5c6806b",
                "sha256": "690e258294202c86f479e78e80fd235cd27bd717f7f60062fccc3dbd6ef0b1a9"
            },
            "downloads": -1,
            "filename": "pyerfa-2.0.1.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
            "has_sig": false,
            "md5_digest": "f85040e722cc0462f4382a16b5c6806b",
            "packagetype": "bdist_wheel",
            "python_version": "pp39",
            "requires_python": ">=3.9",
            "size": 343943,
            "upload_time": "2024-11-11T15:22:27",
            "upload_time_iso_8601": "2024-11-11T15:22:27.996130Z",
            "url": "https://files.pythonhosted.org/packages/11/9e/ee706b5fc5b5a72e31283f66e68730abf802469bbc373ff0d05e68d7e2df/pyerfa-2.0.1.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "5189278ac94f86b6850f0ccee99839103375b665ccf99cb5085515deed4ab2d6",
                "md5": "e053de89211f235b1f31082d5dca5793",
                "sha256": "171ce9676a448a7eb555f03aa19ad5c749dbced1ce4f9923e4d93443c4a9c612"
            },
            "downloads": -1,
            "filename": "pyerfa-2.0.1.5-pp39-pypy39_pp73-win_amd64.whl",
            "has_sig": false,
            "md5_digest": "e053de89211f235b1f31082d5dca5793",
            "packagetype": "bdist_wheel",
            "python_version": "pp39",
            "requires_python": ">=3.9",
            "size": 349515,
            "upload_time": "2024-11-11T15:22:29",
            "upload_time_iso_8601": "2024-11-11T15:22:29.725753Z",
            "url": "https://files.pythonhosted.org/packages/51/89/278ac94f86b6850f0ccee99839103375b665ccf99cb5085515deed4ab2d6/pyerfa-2.0.1.5-pp39-pypy39_pp73-win_amd64.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "713963cc8291b0cf324ae710df41527faf7d331bce573899199d926b3e492260",
                "md5": "6cb13d45fb4e391b70e2456760a9add8",
                "sha256": "17d6b24fe4846c65d5e7d8c362dcb08199dc63b30a236aedd73875cc83e1f6c0"
            },
            "downloads": -1,
            "filename": "pyerfa-2.0.1.5.tar.gz",
            "has_sig": false,
            "md5_digest": "6cb13d45fb4e391b70e2456760a9add8",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.9",
            "size": 818430,
            "upload_time": "2024-11-11T15:22:30",
            "upload_time_iso_8601": "2024-11-11T15:22:30.852125Z",
            "url": "https://files.pythonhosted.org/packages/71/39/63cc8291b0cf324ae710df41527faf7d331bce573899199d926b3e492260/pyerfa-2.0.1.5.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-11-11 15:22:30",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "liberfa",
    "github_project": "pyerfa",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "tox": true,
    "lcname": "pyerfa"
}
        
Elapsed time: 0.38606s