| Name | pyQvarsi JSON |
| Version |
3.0.0
JSON |
| download |
| home_page | https://gitlab.com/ArnauMiro/pyQvarsi.git |
| Summary | Python interface for Alya and other codes |
| upload_time | 2024-12-10 18:09:45 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.7 |
| license | MIT License Copyright (c) pyQvarsi Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
cfd
alya
post-processing
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[](https://opensource.org/licenses/mit)
# Quick Visualization, Analysis and Reporting of SImulations Python module
The Quick Visualization, Analysis and Reporting of SImulations Python module (in short pyQvarsi) are a set of tools developed in python to interface with CFD codes using mpi-enabled tools to compute post-processing quantities in parallel.
This tool has been developed with Python 3 in mind and might not be compatible with lower version of Python.
The instructions on how to use pyQvarsi can be found in its [wiki](https://gitlab.com/ArnauMiro/pyQvarsi/-/wikis/home). In particular, on the left sidebar there are thorough instructions on how to build and deploy this tool on various platforms. The user is referred there for detailed instructions and also to find a bit of a manual on how pyQvarsi works and some examples of how it can be used.
pyQvarsi also includes some executables that run tools to perform usual operations. The user is refered [here](https://gitlab.com/ArnauMiro/pyQvarsi/-/wikis/Scripts) for a thorough explanation.
Finally, a number of examples are provided as a means to demostrate the capabilities of the tool:
* example_FEM: A little example to show the FEM operations on a silly mesh.
* example_FEM_parallel: A little example to show the FEM operations on the cavtri_03 case.
* example_COMMU: A little example to read and compute the communications matrix (used for validation).
* example_MASSM: A little example to read and compute the mass matrix (used for validation).
* example_output: A little example how to use the output formats of this tool.
* example_output_parallel: A little example how to use the output formats of this tool in parallel.
* example_avg_parallel: An example on how to compute temporal averages and reduce with the tool.
* example_avgXZ_parallel: An example on how to compute temporal averages, average on the X and Z direction, reduce and compute the BL statistics from a channel flow using VELOC.
* example_avgXZ_AVVEL_parallel: An example on how to compute temporal averages, average on the X and Z direction, reduce and compute the BL statistics from a channel flow using AVVEL.
* example_dissi_parallel: An example on how to compute the dissipation and the Kolmogorov length and time scales.
* example_checkpint_parallel: An example on how to use the checkpoint when computing the dissipation.
* example_MEP: An example on how to apply MEP to obtain the regression.
* example_GEOM: An example on how to use the Geometry module in 2D.
* example_GEOM_3D: An example on how to use the Geometry module in 3D.
Please read the instructions carefully and address any questions to [arnau.mirojane(at)bsc.es](mailto:arnau.mirojane@bsc.es) or [benet.eiximeno(at)bsc.es](mailto:benet.eiximeno@bsc.es).
Raw data
{
"_id": null,
"home_page": "https://gitlab.com/ArnauMiro/pyQvarsi.git",
"name": "pyQvarsi",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": "Benet Eiximeno <benet.eiximeno@bsc.es>, Arnau Miro <arnau.mirojane@bsc.es>",
"keywords": "CFD, Alya, post-processing",
"author": null,
"author_email": "Benet Eiximeno <benet.eiximeno@bsc.es>, Arnau Miro <arnau.mirojane@bsc.es>, Oriol Lehmkuhl <oriol.lehmkuhl@bsc.es>",
"download_url": "https://files.pythonhosted.org/packages/b4/ab/8898ff3538c1628b80b7ba416d3823f50152b155a1e58832fc9d6dc04829/pyqvarsi-3.0.0.tar.gz",
"platform": null,
"description": "[](https://opensource.org/licenses/mit)\n\n# Quick Visualization, Analysis and Reporting of SImulations Python module\n\nThe Quick Visualization, Analysis and Reporting of SImulations Python module (in short pyQvarsi) are a set of tools developed in python to interface with CFD codes using mpi-enabled tools to compute post-processing quantities in parallel.\n\nThis tool has been developed with Python 3 in mind and might not be compatible with lower version of Python.\n\nThe instructions on how to use pyQvarsi can be found in its [wiki](https://gitlab.com/ArnauMiro/pyQvarsi/-/wikis/home). In particular, on the left sidebar there are thorough instructions on how to build and deploy this tool on various platforms. The user is referred there for detailed instructions and also to find a bit of a manual on how pyQvarsi works and some examples of how it can be used.\n\npyQvarsi also includes some executables that run tools to perform usual operations. The user is refered [here](https://gitlab.com/ArnauMiro/pyQvarsi/-/wikis/Scripts) for a thorough explanation.\n\nFinally, a number of examples are provided as a means to demostrate the capabilities of the tool:\n* example_FEM: A little example to show the FEM operations on a silly mesh.\n* example_FEM_parallel: A little example to show the FEM operations on the cavtri_03 case.\n* example_COMMU: A little example to read and compute the communications matrix (used for validation).\n* example_MASSM: A little example to read and compute the mass matrix (used for validation).\n* example_output: A little example how to use the output formats of this tool.\n* example_output_parallel: A little example how to use the output formats of this tool in parallel.\n* example_avg_parallel: An example on how to compute temporal averages and reduce with the tool.\n* example_avgXZ_parallel: An example on how to compute temporal averages, average on the X and Z direction, reduce and compute the BL statistics from a channel flow using VELOC.\n* example_avgXZ_AVVEL_parallel: An example on how to compute temporal averages, average on the X and Z direction, reduce and compute the BL statistics from a channel flow using AVVEL.\n* example_dissi_parallel: An example on how to compute the dissipation and the Kolmogorov length and time scales.\n* example_checkpint_parallel: An example on how to use the checkpoint when computing the dissipation.\n* example_MEP: An example on how to apply MEP to obtain the regression.\n* example_GEOM: An example on how to use the Geometry module in 2D.\n* example_GEOM_3D: An example on how to use the Geometry module in 3D.\n\nPlease read the instructions carefully and address any questions to [arnau.mirojane(at)bsc.es](mailto:arnau.mirojane@bsc.es) or [benet.eiximeno(at)bsc.es](mailto:benet.eiximeno@bsc.es).\n",
"bugtrack_url": null,
"license": "MIT License Copyright (c) pyQvarsi Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ",
"summary": "Python interface for Alya and other codes",
"version": "3.0.0",
"project_urls": {
"Bug Reports": "https://ArnauMiro@gitlab.com/ArnauMiro/pyQvarsi/issues",
"Homepage": "https://ArnauMiro@gitlab.com/ArnauMiro/pyQvarsi",
"Source": "https://ArnauMiro@gitlab.com/ArnauMiro/pyQvarsi"
},
"split_keywords": [
"cfd",
" alya",
" post-processing"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "b4ab8898ff3538c1628b80b7ba416d3823f50152b155a1e58832fc9d6dc04829",
"md5": "cdff5005f7eb44839df724c9ef97c130",
"sha256": "1e6d7eefc5cc2e2ae9b4af4afe2f63fedb956bc56304c6b155f1178fccdcf877"
},
"downloads": -1,
"filename": "pyqvarsi-3.0.0.tar.gz",
"has_sig": false,
"md5_digest": "cdff5005f7eb44839df724c9ef97c130",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 145825,
"upload_time": "2024-12-10T18:09:45",
"upload_time_iso_8601": "2024-12-10T18:09:45.524335Z",
"url": "https://files.pythonhosted.org/packages/b4/ab/8898ff3538c1628b80b7ba416d3823f50152b155a1e58832fc9d6dc04829/pyqvarsi-3.0.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-12-10 18:09:45",
"github": false,
"gitlab": true,
"bitbucket": false,
"codeberg": false,
"gitlab_user": "ArnauMiro",
"gitlab_project": "pyQvarsi",
"lcname": "pyqvarsi"
}
