Name | ial-expertise JSON |
Version |
1.3.0
JSON |
| download |
home_page | None |
Summary | IAL expertise: Experts tools to analyse the outputs of IAL configurations. |
upload_time | 2025-08-29 14:20:54 |
maintainer | None |
docs_url | None |
author | None |
requires_python | >=3.7 |
license | CECILL-C |
keywords |
ial
davai
|
VCS |
 |
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
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coveralls test coverage |
No coveralls.
|
# IAL expertise
Expert tools to analyse the outputs of IAL configurations.
Each expert is addressing a different kind of output, being able to parse or read these outputs, and compare them to a reference output.
This package has been developped primarily for the needs of [Davai](https://github.com/ACCORD-NWP/DAVAI-tests)
which uses these experts to state on the outputs of tests conducted on a code contribution to IAL
or other associated source repositories.
## Currently implemented experts (non-exhaustive list)
Experts currently are implemented for the following metrics:
* Norms (spectral, gridpoint)
* Fields in FA/GRIB output files
* Jo-tables
* DrHook profiling
* OOPS observation operators, direct and adjoint test
* OOPS model adjoint test
* Bator obscounts, Canari statistics
* Gmkpack build
* Variables printed in model setup
## Expert Board
The analysis and comparison are processed through the use of an ExpertBoard object,
whose class is provided in the package.
## Experts doc generation
Using Vortex's `tbinterface.py`:
```
tbinterface.py -f json -c outputexpert -n ial_expertise
```
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"description": "# IAL expertise\n\nExpert tools to analyse the outputs of IAL configurations.\n\nEach expert is addressing a different kind of output, being able to parse or read these outputs, and compare them to a reference output.\n\nThis package has been developped primarily for the needs of [Davai](https://github.com/ACCORD-NWP/DAVAI-tests)\nwhich uses these experts to state on the outputs of tests conducted on a code contribution to IAL\nor other associated source repositories.\n\n## Currently implemented experts (non-exhaustive list)\n\nExperts currently are implemented for the following metrics:\n* Norms (spectral, gridpoint)\n* Fields in FA/GRIB output files\n* Jo-tables\n* DrHook profiling\n* OOPS observation operators, direct and adjoint test\n* OOPS model adjoint test\n* Bator obscounts, Canari statistics\n* Gmkpack build\n* Variables printed in model setup\n\n## Expert Board\n\nThe analysis and comparison are processed through the use of an ExpertBoard object,\nwhose class is provided in the package.\n\n## Experts doc generation\nUsing Vortex's `tbinterface.py`:\n```\ntbinterface.py -f json -c outputexpert -n ial_expertise\n```\n",
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