Raw data
{
"_id": null,
"home_page": "https://github.com/dadinu/pyjsa",
"name": "pyjsa",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "simulation photons LNOI waveguides PPLN JSA PMF PEF purity heralding efficiency",
"author": "Danut-Valentin Dinu",
"author_email": "dadinu@student.ethz.ch",
"download_url": "https://files.pythonhosted.org/packages/b2/2a/3da84bf051e6fc8ade871cb73b0d4652ee176bb6e9b8b718a63334bffb3d/pyjsa-0.0.3.tar.gz",
"platform": null,
"description": "",
"bugtrack_url": null,
"license": "GNU GPL-3.0",
"summary": "",
"version": "0.0.3",
"split_keywords": [
"simulation",
"photons",
"lnoi",
"waveguides",
"ppln",
"jsa",
"pmf",
"pef",
"purity",
"heralding",
"efficiency"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "b22a3da84bf051e6fc8ade871cb73b0d4652ee176bb6e9b8b718a63334bffb3d",
"md5": "4ebf9235e370336d1ccab8bb6d9f27bc",
"sha256": "c8bbe8c8a0ef93acbde7307c795ae937328dba3beeaefafb61a260cf474518d0"
},
"downloads": -1,
"filename": "pyjsa-0.0.3.tar.gz",
"has_sig": false,
"md5_digest": "4ebf9235e370336d1ccab8bb6d9f27bc",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 6317733,
"upload_time": "2023-01-04T11:20:28",
"upload_time_iso_8601": "2023-01-04T11:20:28.194464Z",
"url": "https://files.pythonhosted.org/packages/b2/2a/3da84bf051e6fc8ade871cb73b0d4652ee176bb6e9b8b718a63334bffb3d/pyjsa-0.0.3.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-01-04 11:20:28",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "dadinu",
"github_project": "pyjsa",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"requirements": [],
"lcname": "pyjsa"
}