ial-expertise

Name	ial-expertise JSON
Version	1.2.4 JSON
	download
home_page	None
Summary	IAL expertise: Experts tools to analyse the outputs of IAL configurations.
upload_time	2025-02-07 16:34:03
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.
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
```

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "ial-expertise",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.7",
    "maintainer_email": null,
    "keywords": "IAL, DAVAI",
    "author": null,
    "author_email": "Alexandre Mary <alexandre.mary@meteo.fr>",
    "download_url": null,
    "platform": null,
    "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",
    "bugtrack_url": null,
    "license": "CECILL-C",
    "summary": "IAL expertise: Experts tools to analyse the outputs of IAL configurations.",
    "version": "1.2.4",
    "project_urls": {
        "source": "https://github.com/ACCORD-NWP/IAL-expertise.git",
        "tracker": "https://github.com/ACCORD-NWP/IAL-expertise/issues"
    },
    "split_keywords": [
        "ial",
        " davai"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "6f557d162b2c849768805993f9e94da22280c5cc2eed0661ae32bcf1d01b31dd",
                "md5": "30d0935e136083447dee0b816911b1b3",
                "sha256": "31be698e755c1ad48f9a09753a4a9771143dfc7eb703810cd95c4c018ebf6b8c"
            },
            "downloads": -1,
            "filename": "ial_expertise-1.2.4-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "30d0935e136083447dee0b816911b1b3",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.7",
            "size": 48194,
            "upload_time": "2025-02-07T16:34:03",
            "upload_time_iso_8601": "2025-02-07T16:34:03.883092Z",
            "url": "https://files.pythonhosted.org/packages/6f/55/7d162b2c849768805993f9e94da22280c5cc2eed0661ae32bcf1d01b31dd/ial_expertise-1.2.4-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-02-07 16:34:03",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "ACCORD-NWP",
    "github_project": "IAL-expertise",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "ial-expertise"
}