# Python Pseudorandom
Copyright 2015-2023 [Sebastiaan Mathôt](https://www.cogsci.nl/smathot)
A package for pseudorandomization of DataMatrix objects. That is, it allows
you to apply certain constraints to the randomization. The main purpose of this
package is to implement constrained loop randomization in OpenSesame, a
graphical experiment builder for the social sciences.
## Example
See `examples/example.py`.
## Dependencies
- [datamatrix](https://github.com/open-cogsci/datamatrix)
## License
`pseudorandom` is released under the GNU General Public License 3. See the
included file `COPYING` for details or visit
<http://www.gnu.org/copyleft/gpl.html>.
Raw data
{
"_id": null,
"home_page": "",
"name": "python-pseudorandom",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "",
"keywords": "pseudorandomization,datamatrix,opensesame,experimental design",
"author": "",
"author_email": "Sebastiaan Math\u00f4t <s.mathot@cogsci.nl>",
"download_url": "https://files.pythonhosted.org/packages/14/4a/b939cd2efb5930f45e3f9785cdb50b83804368e6ba3eb301edf0abdfde57/python-pseudorandom-0.3.2.tar.gz",
"platform": null,
"description": "# Python Pseudorandom\n\nCopyright 2015-2023 [Sebastiaan Math\u00f4t](https://www.cogsci.nl/smathot)\n\nA package for pseudorandomization of DataMatrix objects. That is, it allows\nyou to apply certain constraints to the randomization. The main purpose of this\npackage is to implement constrained loop randomization in OpenSesame, a\ngraphical experiment builder for the social sciences.\n\n## Example\n\nSee `examples/example.py`.\n\n## Dependencies\n\n- [datamatrix](https://github.com/open-cogsci/datamatrix)\n\n## License\n\n`pseudorandom` is released under the GNU General Public License 3. See the\nincluded file `COPYING` for details or visit\n<http://www.gnu.org/copyleft/gpl.html>.\n\n",
"bugtrack_url": null,
"license": "",
"summary": "This file is part of pseudorandom.",
"version": "0.3.2",
"split_keywords": [
"pseudorandomization",
"datamatrix",
"opensesame",
"experimental design"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "72194aa53df1b65617e02d2a6e8f063f1e95df9ac8b167bbe33db5823e8b8154",
"md5": "46c9c2d4f5117af7b20ae9778c7712bc",
"sha256": "228355eeb67d2d3ae49d323b6247a0f5cfc52c6ec500a9066c84e1744b612ea2"
},
"downloads": -1,
"filename": "python_pseudorandom-0.3.2-py3-none-any.whl",
"has_sig": false,
"md5_digest": "46c9c2d4f5117af7b20ae9778c7712bc",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 17920,
"upload_time": "2023-01-24T13:01:49",
"upload_time_iso_8601": "2023-01-24T13:01:49.284938Z",
"url": "https://files.pythonhosted.org/packages/72/19/4aa53df1b65617e02d2a6e8f063f1e95df9ac8b167bbe33db5823e8b8154/python_pseudorandom-0.3.2-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "144ab939cd2efb5930f45e3f9785cdb50b83804368e6ba3eb301edf0abdfde57",
"md5": "9f2b5d11dab88dbfcf234f36e28cee5e",
"sha256": "b75415022bbd4ea8eeb9be28aa515b488f342f21f40cd88136bb23895b82dc72"
},
"downloads": -1,
"filename": "python-pseudorandom-0.3.2.tar.gz",
"has_sig": false,
"md5_digest": "9f2b5d11dab88dbfcf234f36e28cee5e",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 15228,
"upload_time": "2023-01-24T13:01:50",
"upload_time_iso_8601": "2023-01-24T13:01:50.810791Z",
"url": "https://files.pythonhosted.org/packages/14/4a/b939cd2efb5930f45e3f9785cdb50b83804368e6ba3eb301edf0abdfde57/python-pseudorandom-0.3.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-01-24 13:01:50",
"github": false,
"gitlab": false,
"bitbucket": false,
"lcname": "python-pseudorandom"
}