Comparison Report

Comparison between `codemeta_13354280.json` and `somef_codemeta_13354280.json`:

Summary

Comparison for Zenodo record 13354280, GammaLearn, hosted on RepoType.GITLAB_SELF_HOSTED:

contains 0 differences
contains 0 same values
missing 0 keys in docs/records/13354280/codemeta_13354280.json:
missing 10 keys in docs/records/13354280/somef_codemeta_13354280.json:
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Full Report

Same Values

No items have the same values.

Differences

No differences found.

Missing Keys in First File:

Missing Keys in Second File:

name
codeRepository
license
version
softwareVersion
datePublished
programmingLanguage
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readme
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Completeness Report

7991254

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artifacts: {'url': '', 'softwareVersion': 'v0.12.0', 'report': 'Completeness of the CodeMeta file based on the CodeMeta codemeta-3.0 specification.\n\nThe following keys are missing: runtimePlatform, targetProduct, applicationSubCategory, fileSize, installUrl, memoryRequirements, operatingSystem, permissions, processorRequirements, softwareHelp, softwareRequirements, storageRequirements, supportingData, citation, copyrightHolder, copyrightYear, editor, encoding, fileFormat, producer, provider, publisher, sponsor, isAccessibleForFree, isPartOf, hasPart, position, identifier, sameAs, url, givenName, familyName, email, affiliation, identifier, address, , , softwareSuggestions, continuousIntegration, buildInstructions, embargoEndDate, referencePublication, creator, review, reviewAspect, reviewBody, endDate, roleName, startDate', 'codemeta': {'@context': 'https://doi.org/10.5063/schema/codemeta-2.0', '@type': 'SoftwareSourceCode', 'license': 'https://spdx.org/licenses/MIT', 'codeRepository': 'git+https://gitlab.in2p3.fr/gammalearn/gammalearn.git', 'contIntegration': 'https://gitlab.in2p3.fr/gammalearn/gammalearn/-/pipelines', 'dateCreated': '2017-07-01', 'datePublished': '2024-02-06', 'dateModified': '2024-02-06', 'downloadUrl': 'https://gitlab.in2p3.fr/gammalearn/gammalearn/-/archive/v0.10/gammalearn-v0.12.0.tar.gz', 'issueTracker': 'https://gitlab.in2p3.fr/gammalearn/gammalearn/-/issues', 'name': 'GammaLearn', 'version': 'v0.12.0', 'softwareVersion': 'v0.12.0', 'readme': 'https://gitlab.in2p3.fr/gammalearn/gammalearn/-/raw/master/README.md', 'maintainer': {'@type': 'Person', '@id': 'https://orcid.org/0000-0002-5686-2078', 'givenName': 'Thomas', 'familyName': 'Vuillaume', 'email': 'thomas.vuillaume@lapp.in2p3.fr', 'affiliation': {'@type': 'Organization', 'name': 'Univ. Savoie Mont-Blanc, CNRS, LAPP'}}, 'description': 'GammaLearn is a collaborative project to apply deep learning to the analysis of low-level Imaging Atmospheric Cherenkov Telescopes such as CTA.\nIt provides a framework to easily train and apply models from a configuration file.\nLearn more at https://purl.org/gammalearn ', 'applicationCategory': 'astroparticle, iact, cta', 'releaseNotes': 'GammaLearn v0.11.0 introduces conditionnal domain adaptation on protons only. It also fixes a few bugs and version requirements.', 'funding': '824064', 'developmentStatus': 'active', 'funder': {'@type': 'Organization', 'name': 'European Union’s Horizon 2020 research and innovation programme'}, 'keywords': ['deep learning', 'machine learning', 'Gamma-ray telescopes', 'cta'], 'programmingLanguage': ['Python 3'], 'relatedLink': ['https://purl.org/gammalearn'], 'author': [{'@type': 'Person', '@id': 'https://orcid.org/ 0000-0002-4012-6930', 'givenName': 'Mikael', 'familyName': 'Jacquemont', 'email': 'mikael.jacquemont@lapp.in2p3.fr', 'affiliation': {'@type': 'Organization', 'name': 'Univ. Savoie Mont-Blanc, CNRS, LAPP'}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0002-5686-2078', 'givenName': 'Thomas', 'familyName': 'Vuillaume', 'email': 'thomas.vuillaume@lapp.in2p3.fr', 'affiliation': {'@type': 'Organization', 'name': 'Univ. Savoie Mont-Blanc, CNRS, LAPP'}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0002-5221-0240', 'givenName': 'Michaël', 'familyName': "Dell'aiera", 'email': 'michael.dellaiera@lapp.in2p3.fr', 'affiliation': {'@type': 'Organization', 'name': 'Univ. Savoie Mont-Blanc, CNRS, LAPP'}}], 'contributor': [{'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1536-9241', 'givenName': 'Thomas', 'familyName': 'Trivellato', 'email': 'thomas.trivellato@lapp.in2p3.fr', 'affiliation': {'@type': 'Organization', 'name': 'Univ. Savoie Mont-Blanc, CNRS, LAPP'}}]}}
result: {'type': 'float', 'value': 32.432432432432435}

5884001

Data

indicator: {'id': 'F1', 'name': 'CodemetaCompleteness', 'identifier': ''}
artifacts: {'url': '', 'softwareVersion': '', 'report': 'Completeness of the CodeMeta file based on the CodeMeta codemeta-3.0 specification.\n\nThe following keys are missing: runtimePlatform, targetProduct, applicationSubCategory, fileSize, installUrl, memoryRequirements, operatingSystem, permissions, processorRequirements, softwareHelp, softwareRequirements, softwareVersion, storageRequirements, supportingData, citation, copyrightHolder, copyrightYear, editor, encoding, fileFormat, producer, provider, publisher, sponsor, isAccessibleForFree, isPartOf, hasPart, position, identifier, sameAs, url, givenName, familyName, email, affiliation, identifier, address, , , softwareSuggestions, maintainer, continuousIntegration, buildInstructions, embargoEndDate, referencePublication, readme, creator, review, reviewAspect, reviewBody, endDate, roleName, startDate', 'codemeta': {'@context': 'https://doi.org/10.5063/schema/codemeta-2.0', '@type': 'SoftwareSourceCode', 'license': 'https://spdx.org/licenses/MIT', 'codeRepository': 'git+https://gitlab.in2p3.fr/gammalearn/gammalearn.git', 'contIntegration': 'https://gitlab.in2p3.fr/gammalearn/gammalearn/-/pipelines', 'dateCreated': '2017-07-01', 'datePublished': '2022-01-20', 'dateModified': '2022-01-20', 'downloadUrl': 'https://gitlab.in2p3.fr/gammalearn/gammalearn/-/archive/v0.8/gammalearn-v0.8.tar.gz', 'issueTracker': 'https://gitlab.in2p3.fr/gammalearn/gammalearn/-/issues', 'name': 'GammaLearn', 'version': 'v0.8', 'description': 'GammaLearn is a collaborative project to apply deep learning to the analysis of low-level Imaging Atmospheric Cherenkov Telescopes such as CTA.\nIt provides a framework to easily train and apply models from a configuration file.\nLearn more at https://purl.org/gammalearn ', 'applicationCategory': 'astroparticle, iact, cta', 'releaseNotes': '', 'funding': '824064', 'developmentStatus': 'active', 'funder': {'@type': 'Organization', 'name': 'European Union’s Horizon 2020 research and innovation programme'}, 'keywords': ['deep learning', 'telescope', 'cherenkov', 'iact', 'cta'], 'programmingLanguage': ['Python 3'], 'relatedLink': ['https://purl.org/gammalearn'], 'author': [{'@type': 'Person', '@id': 'https://orcid.org/ 0000-0002-4012-6930', 'givenName': 'Mikael', 'familyName': 'Jacquemont', 'email': 'mikael.jacquemont@lapp.in2p3.fr', 'affiliation': {'@type': 'Organization', 'name': 'Univ. Savoie Mont-Blanc, CNRS, LAPP'}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0002-5686-2078', 'givenName': 'Thomas', 'familyName': 'Vuillaume', 'email': 'thomas.vuillaume@lapp.in2p3.fr', 'affiliation': {'@type': 'Organization', 'name': 'Univ. Savoie Mont-Blanc, CNRS, LAPP'}}], 'contributor': [{'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1536-9241', 'givenName': 'Thomas', 'familyName': 'Trivellato', 'email': 'thomas.trivellato@lapp.in2p3.fr', 'affiliation': {'@type': 'Organization', 'name': 'Univ. Savoie Mont-Blanc, CNRS, LAPP'}}]}}
result: {'type': 'float', 'value': 28.37837837837838}

7774265

Data

indicator: {'id': 'F1', 'name': 'CodemetaCompleteness', 'identifier': ''}
artifacts: {'url': '', 'softwareVersion': 'v0.10', 'report': 'Completeness of the CodeMeta file based on the CodeMeta codemeta-3.0 specification.\n\nThe following keys are missing: runtimePlatform, targetProduct, applicationSubCategory, fileSize, installUrl, memoryRequirements, operatingSystem, permissions, processorRequirements, softwareHelp, softwareRequirements, storageRequirements, supportingData, citation, copyrightHolder, copyrightYear, editor, encoding, fileFormat, producer, provider, publisher, sponsor, isAccessibleForFree, isPartOf, hasPart, position, identifier, sameAs, url, givenName, familyName, email, affiliation, identifier, address, , , softwareSuggestions, continuousIntegration, buildInstructions, embargoEndDate, referencePublication, creator, review, reviewAspect, reviewBody, endDate, roleName, startDate', 'codemeta': {'@context': 'https://doi.org/10.5063/schema/codemeta-2.0', '@type': 'SoftwareSourceCode', 'license': 'https://spdx.org/licenses/MIT', 'codeRepository': 'git+https://gitlab.in2p3.fr/gammalearn/gammalearn.git', 'contIntegration': 'https://gitlab.in2p3.fr/gammalearn/gammalearn/-/pipelines', 'dateCreated': '2017-07-01', 'datePublished': '2023-03-27', 'dateModified': '2023-03-27', 'downloadUrl': 'https://gitlab.in2p3.fr/gammalearn/gammalearn/-/archive/v0.10/gammalearn-v0.10.tar.gz', 'issueTracker': 'https://gitlab.in2p3.fr/gammalearn/gammalearn/-/issues', 'name': 'GammaLearn', 'version': 'v0.10', 'softwareVersion': 'v0.10', 'readme': 'https://gitlab.in2p3.fr/gammalearn/gammalearn/-/raw/master/README.md', 'maintainer': {'@type': 'Person', '@id': 'https://orcid.org/0000-0002-5686-2078', 'givenName': 'Thomas', 'familyName': 'Vuillaume', 'email': 'vuillaume@lapp.in2p3.fr', 'affiliation': {'@type': 'Organization', 'name': 'Univ. Savoie Mont Blanc, CNRS, LAPP'}}, 'description': 'GammaLearn is a collaborative project to apply deep learning to the analysis of low-level Imaging Atmospheric Cherenkov Telescopes such as CTA.\nIt provides a framework to easily train and apply models from a configuration file.\nLearn more at https://purl.org/gammalearn ', 'applicationCategory': 'astroparticle, iact, cta', 'releaseNotes': 'GammaLearn v10.0 introduces new domain adaptation techniques with DeepJDot and DeepCoral. The data loading of the vision datasets has been refactored to make it more general. The containerization is improved with an environment layer using mamba. The documentation has been improved.', 'funding': '824064', 'developmentStatus': 'active', 'funder': {'@type': 'Organization', 'name': 'European Union’s Horizon 2020 research and innovation programme'}, 'keywords': ['deep learning', 'machine learning', 'Gamma-ray telescopes', 'cta'], 'programmingLanguage': ['Python 3'], 'relatedLink': ['https://purl.org/gammalearn'], 'author': [{'@type': 'Person', '@id': 'https://orcid.org/ 0000-0002-4012-6930', 'givenName': 'Mikael', 'familyName': 'Jacquemont', 'email': 'mikael.jacquemont@lapp.in2p3.fr', 'affiliation': {'@type': 'Organization', 'name': 'Univ. Savoie Mont-Blanc, CNRS, LAPP'}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0002-5686-2078', 'givenName': 'Thomas', 'familyName': 'Vuillaume', 'email': 'thomas.vuillaume@lapp.in2p3.fr', 'affiliation': {'@type': 'Organization', 'name': 'Univ. Savoie Mont-Blanc, CNRS, LAPP'}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0002-5221-0240', 'givenName': 'Michaël', 'familyName': "Dell'aiera", 'email': 'michael.dellaiera@lapp.in2p3.fr', 'affiliation': {'@type': 'Organization', 'name': 'Univ. Savoie Mont-Blanc, CNRS, LAPP'}}], 'contributor': [{'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1536-9241', 'givenName': 'Thomas', 'familyName': 'Trivellato', 'email': 'thomas.trivellato@lapp.in2p3.fr', 'affiliation': {'@type': 'Organization', 'name': 'Univ. Savoie Mont-Blanc, CNRS, LAPP'}}]}}
result: {'type': 'float', 'value': 32.432432432432435}

Logs

Processing record: Record #13354280 : GammaLearn
Reloading codemeta from Zenodo
Getting all versions of the record from Zenodo
Versions: {7991254: 'v0.10.1', 5879804: 'v0.7.4', 6522736: 'v0.9', 11110461: 'v0.13.0', 8209239: 'v0.11.0', 13354280: 'v0.14.0', 10627445: 'v0.12.0', 5884001: 'v0.8', 7774265: 'v0.10'}
retrieved codemeta for version 7991254, created: 2023-05-31 14:26:19.806208+00:00, modified: 2023-08-03 06:49:56.645021+00:00
retrieved codemeta for version 5879804, created: 2022-01-19 20:41:33.619900+00:00, modified: 2023-08-03 06:49:56.003747+00:00
retrieved codemeta for version 6522736, created: 2022-05-05 20:12:00.134836+00:00, modified: 2023-08-03 06:49:56.408100+00:00
retrieved codemeta for version 11110461, created: 2024-05-03 16:03:53.965403+00:00, modified: 2024-05-03 16:03:54.173215+00:00
retrieved codemeta for version 8209239, created: 2023-08-02 19:43:07.606164+00:00, modified: 2023-08-03 06:49:57.485525+00:00
retrieved codemeta for version 13354280, created: 2024-08-21 10:52:16.630093+00:00, modified: 2025-03-19 10:19:24.404208+00:00
retrieved codemeta for version 10627445, created: 2024-02-06 22:06:26.008054+00:00, modified: 2024-02-06 22:06:26.268245+00:00
retrieved codemeta for version 5884001, created: 2022-01-20 14:30:59.667467+00:00, modified: 2023-08-03 06:49:56.275484+00:00
retrieved codemeta for version 7774265, created: 2023-03-27 11:07:25.397691+00:00, modified: 2023-08-03 06:49:56.518684+00:00
Compute completeness for all versions
Completeness for 7991254 = 32.43%
Completeness for 5879804 = 28.38%
Completeness for 6522736 = 28.38%
Completeness for 11110461 = 32.43%
Completeness for 8209239 = 32.43%
Completeness for 13354280 = 32.43%
Completeness for 10627445 = 32.43%
Completeness for 5884001 = 28.38%
Completeness for 7774265 = 32.43%
Repo: https://gitlab.in2p3.fr/gammalearn/gammalearn
Reloading SOMEF codemeta from repository
SOftware Metadata Extraction Framework (SOMEF) Command Line Interface

Traceback (most recent call last):
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/nltk/corpus/util.py", line 84, in __load
    root = nltk.data.find(f"{self.subdir}/{zip_name}")
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/nltk/data.py", line 579, in find
    raise LookupError(resource_not_found)
LookupError: 
**********************************************************************
  Resource [93mwordnet[0m not found.
  Please use the NLTK Downloader to obtain the resource:

  [31m>>> import nltk
  >>> nltk.download('wordnet')
  [0m
  For more information see: https://www.nltk.org/data.html

  Attempted to load [93mcorpora/wordnet.zip/wordnet/[0m

  Searched in:
    - '/root/nltk_data'
    - '/builds/escape-ossr/rs_quality_checks/.venv/nltk_data'
    - '/builds/escape-ossr/rs_quality_checks/.venv/share/nltk_data'
    - '/builds/escape-ossr/rs_quality_checks/.venv/lib/nltk_data'
    - '/usr/share/nltk_data'
    - '/usr/local/share/nltk_data'
    - '/usr/lib/nltk_data'
    - '/usr/local/lib/nltk_data'
**********************************************************************


During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/builds/escape-ossr/rs_quality_checks/.venv/bin/somef", line 10, in <module>
    sys.exit(cli())
             ^^^^^
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/click/core.py", line 1161, in __call__
    return self.main(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/click/core.py", line 1082, in main
    rv = self.invoke(ctx)
         ^^^^^^^^^^^^^^^^
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/click/core.py", line 1697, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/click/core.py", line 1443, in invoke
    return ctx.invoke(self.callback, **ctx.params)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/click/core.py", line 788, in invoke
    return __callback(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/somef/__main__.py", line 162, in describe
    from . import somef_cli
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/somef/somef_cli.py", line 11, in <module>
    from . import header_analysis, regular_expressions, process_repository, configuration, process_files, \
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/somef/header_analysis.py", line 19, in <module>
    citation = [Word("citation").synsets[3], Word("reference").synsets[1], Word("cite").synsets[3]]
                ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/textblob/decorators.py", line 24, in __get__
    value = obj.__dict__[self.func.__name__] = self.func(obj)
                                               ^^^^^^^^^^^^^^
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/textblob/blob.py", line 190, in synsets
    return self.get_synsets(pos=None)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/textblob/blob.py", line 211, in get_synsets
    return _wordnet.synsets(self.string, pos)
           ^^^^^^^^^^^^^^^^
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/nltk/corpus/util.py", line 120, in __getattr__
    self.__load()
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/nltk/corpus/util.py", line 86, in __load
    raise e
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/nltk/corpus/util.py", line 81, in __load
    root = nltk.data.find(f"{self.subdir}/{self.__name}")
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/builds/escape-ossr/rs_quality_checks/.venv/lib/python3.12/site-packages/nltk/data.py", line 579, in find
    raise LookupError(resource_not_found)
LookupError: 
**********************************************************************
  Resource [93mwordnet[0m not found.
  Please use the NLTK Downloader to obtain the resource:

  [31m>>> import nltk
  >>> nltk.download('wordnet')
  [0m
  For more information see: https://www.nltk.org/data.html

  Attempted to load [93mcorpora/wordnet[0m

  Searched in:
    - '/root/nltk_data'
    - '/builds/escape-ossr/rs_quality_checks/.venv/nltk_data'
    - '/builds/escape-ossr/rs_quality_checks/.venv/share/nltk_data'
    - '/builds/escape-ossr/rs_quality_checks/.venv/lib/nltk_data'
    - '/usr/share/nltk_data'
    - '/usr/local/share/nltk_data'
    - '/usr/lib/nltk_data'
    - '/usr/local/lib/nltk_data'
**********************************************************************


Creating empty docs/records/13354280/somef_codemeta_13354280.json

Keys	Action
`?`	Open this help
`n`	Next page
`p`	Previous page
`s`	Search

Comparison Report

Comparison between codemeta_13354280.json and somef_codemeta_13354280.json:

Summary

Full Report

Same Values

Differences

Missing Keys in First File:

Missing Keys in Second File:

Completeness Report

7991254

Meta

Data

5879804

Meta

Data

6522736

Meta

Data

11110461

Meta

Data

8209239

Meta

Data

13354280

Meta

Data

10627445

Meta

Data

5884001

Meta

Data

7774265

Meta

Data

Logs

Comparison between `codemeta_13354280.json` and `somef_codemeta_13354280.json`: