Comparison Report

Comparison between codemeta_15065761.json and somef_codemeta_15065761.json:

Summary

Comparison for Zenodo record 15065761, CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction, hosted on RepoType.GITHUB:

  • contains 0 differences
  • contains 0 same values
  • missing 1 keys in docs/records/15065761/codemeta_15065761.json:
  • dateCreated
  • missing 10 keys in docs/records/15065761/somef_codemeta_15065761.json:
    • name
    • codeRepository
    • license
    • version
    • softwareVersion
    • datePublished
    • programmingLanguage
    • issueTracker
    • readme
    • dateCreated

Full Report

Same Values

No items have the same values.

Differences

No differences found.

Missing Keys in First File:

  • dateCreated

Missing Keys in Second File:

  • name
  • codeRepository
  • license
  • version
  • softwareVersion
  • datePublished
  • programmingLanguage
  • issueTracker
  • readme
  • dateCreated

Completeness Report

3345947

Meta

  • generated_at: 2025-05-14T07:02:53.790444
  • workflow: {'name': 'CodeMetaEvaluator', 'url': '', 'version': 'v0.0.1'}

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: codeRepository, programmingLanguage, runtimePlatform, targetProduct, applicationCategory, applicationSubCategory, downloadUrl, fileSize, installUrl, memoryRequirements, operatingSystem, permissions, processorRequirements, releaseNotes, softwareHelp, softwareRequirements, softwareVersion, storageRequirements, supportingData, author, citation, contributor, copyrightHolder, copyrightYear, dateCreated, dateModified, datePublished, editor, encoding, fileFormat, funder, keywords, license, producer, provider, publisher, sponsor, version, isAccessibleForFree, isPartOf, hasPart, position, description, identifier, name, sameAs, url, relatedLink, givenName, familyName, email, affiliation, identifier, name, address, , , softwareSuggestions, maintainer, continuousIntegration, buildInstructions, developmentStatus, embargoEndDate, funding, issueTracker, referencePublication, readme, creator, review, reviewAspect, reviewBody, endDate, roleName, startDate', 'codemeta': {}}
  • result: {'type': 'float', 'value': 0.0}

15021424

Meta

  • generated_at: 2025-05-14T07:02:53.799733
  • workflow: {'name': 'CodeMetaEvaluator', 'url': '', 'version': 'v0.0.1'}

Data

  • indicator: {'id': 'F1', 'name': 'CodemetaCompleteness', 'identifier': ''}
  • artifacts: {'url': '', 'softwareVersion': '0.10.0', '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, permissions, processorRequirements, releaseNotes, softwareHelp, storageRequirements, supportingData, citation, copyrightHolder, copyrightYear, dateCreated, editor, encoding, fileFormat, producer, provider, publisher, sponsor, isAccessibleForFree, hasPart, position, sameAs, url, relatedLink, givenName, familyName, email, affiliation, address, , , softwareSuggestions, continuousIntegration, buildInstructions, embargoEndDate, 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/BSD-3-Clause', 'codeRepository': 'https://github.com/ctlearn-project/ctlearn', 'contIntegration': 'https://github.com/ctlearn-project/ctlearn/actions', 'datePublished': '2023-05-08', 'dateModified': '2025-03-13', 'downloadUrl': 'https://zenodo.org/record/5947837/files/ctlearn-project/ctlearn-v0.10.0.zip', 'issueTracker': 'https://github.com/ctlearn-project/ctlearn/issues', 'name': 'CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction', 'readme': 'https://ctlearn.readthedocs.io', 'version': '0.10.0', 'softwareVersion': '0.10.0', 'identifier': '10.5281/zenodo.3342952', 'description': 'CTLearn is a high-level Python package providing a backend for training deep learning models for the reconstruction of imaging atmospheric Cherenkov telescope events using TensorFlow.', 'applicationCategory': 'Astronomy', 'funding': 'ESCAPE 824064', 'developmentStatus': 'active', 'isPartOf': 'https://github.com/ctlearn-project', 'referencePublication': 'https://doi.org/10.5281/zenodo.3342952', 'funder': {'@type': 'Organization', 'name': "European Union's Horizon 2020 research and innovation programme"}, 'keywords': ['Imaging atmospheric Cherenkov telescopes', 'Deep learning', 'High energy physics', 'Event reconstruction'], 'programmingLanguage': ['Python 3'], 'operatingSystem': ['Linux', 'MacOS'], 'softwareRequirements': ['Python 3', 'TensorFlow 2', 'astropy', 'scikit-learn', 'ctapipe', 'ctaplot', 'DL1DataHandler', 'numba', 'NumPy', 'PyYAML', 'PyIRF', 'PyDot', 'Pandas'], 'author': [{'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1821-7964', 'givenName': 'Tjark', 'familyName': 'Miener', 'affiliation': {'@type': 'Organization', 'name': 'Département de Physique Nucléaire et Corpusculaire, Univertité de Genève, Genève, Switzerland'}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3343-0755', 'givenName': 'Daniel', 'familyName': 'Nieto', 'email': 'd.nieto@ucm.es', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': ' https://orcid.org/ 0000-0002-6208-5244', 'givenName': 'Ari', 'familyName': 'Brill'}, {'@type': 'Person', 'givenName': 'Bryan', 'familyName': 'Kim', 'affiliation': {'@type': 'Organization', 'name': 'University of California Los Angeles, Division of Astronomy and Astrophysics, Los Angeles, CA, USA'}}, {'@type': 'Person', '@id': ' https://orcid.org/0000-0001-6674-4238', 'givenName': 'Qi', 'familyName': 'Feng', 'affiliation': {'@type': 'Organization', 'name': 'Barnard College, Columbia University, New York, NY, USA'}}], 'contributor': [{'@type': 'Person', '@id': ' https://orcid.org/0009-0007-1566-9507', 'givenName': 'Alexander', 'familyName': 'Cerviño Cortínez', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain'}}, {'@type': 'Person', '@id': ' https://orcid.org/0000-0002-4454-1146', 'givenName': 'Jaime', 'familyName': 'Sevilla', 'affiliation': {'@type': 'Organization', 'name': 'Facultad de Ingeniería Informática, Universidad Complutense de Madrid, Madrid, Spain'}}], 'maintainer': [{'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3343-0755', 'givenName': 'Daniel', 'familyName': 'Nieto', 'email': 'd.nieto@ucm.es', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1821-7964', 'givenName': 'Tjark', 'familyName': 'Miener', 'affiliation': {'@type': 'Organization', 'name': 'Département de Physique Nucléaire et Corpusculaire, Univertité de Genève, Genève, Switzerland'}}]}}
  • result: {'type': 'float', 'value': 36.486486486486484}

4576196

Meta

  • generated_at: 2025-05-14T07:02:53.809010
  • workflow: {'name': 'CodeMetaEvaluator', 'url': '', 'version': 'v0.0.1'}

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: codeRepository, programmingLanguage, runtimePlatform, targetProduct, applicationCategory, applicationSubCategory, downloadUrl, fileSize, installUrl, memoryRequirements, operatingSystem, permissions, processorRequirements, releaseNotes, softwareHelp, softwareRequirements, softwareVersion, storageRequirements, supportingData, author, citation, contributor, copyrightHolder, copyrightYear, dateCreated, dateModified, datePublished, editor, encoding, fileFormat, funder, keywords, license, producer, provider, publisher, sponsor, version, isAccessibleForFree, isPartOf, hasPart, position, description, identifier, name, sameAs, url, relatedLink, givenName, familyName, email, affiliation, identifier, name, address, , , softwareSuggestions, maintainer, continuousIntegration, buildInstructions, developmentStatus, embargoEndDate, funding, issueTracker, referencePublication, readme, creator, review, reviewAspect, reviewBody, endDate, roleName, startDate', 'codemeta': {}}
  • result: {'type': 'float', 'value': 0.0}

5772815

Meta

  • generated_at: 2025-05-14T07:02:53.818137
  • workflow: {'name': 'CodeMetaEvaluator', 'url': '', 'version': 'v0.0.1'}

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: codeRepository, programmingLanguage, runtimePlatform, targetProduct, applicationCategory, applicationSubCategory, downloadUrl, fileSize, installUrl, memoryRequirements, operatingSystem, permissions, processorRequirements, releaseNotes, softwareHelp, softwareRequirements, softwareVersion, storageRequirements, supportingData, author, citation, contributor, copyrightHolder, copyrightYear, dateCreated, dateModified, datePublished, editor, encoding, fileFormat, funder, keywords, license, producer, provider, publisher, sponsor, version, isAccessibleForFree, isPartOf, hasPart, position, description, identifier, name, sameAs, url, relatedLink, givenName, familyName, email, affiliation, identifier, name, address, , , softwareSuggestions, maintainer, continuousIntegration, buildInstructions, developmentStatus, embargoEndDate, funding, issueTracker, referencePublication, readme, creator, review, reviewAspect, reviewBody, endDate, roleName, startDate', 'codemeta': {}}
  • result: {'type': 'float', 'value': 0.0}

5947837

Meta

  • generated_at: 2025-05-14T07:02:53.827114
  • workflow: {'name': 'CodeMetaEvaluator', 'url': '', 'version': 'v0.0.1'}

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: codeRepository, programmingLanguage, runtimePlatform, targetProduct, applicationCategory, applicationSubCategory, downloadUrl, fileSize, installUrl, memoryRequirements, operatingSystem, permissions, processorRequirements, releaseNotes, softwareHelp, softwareRequirements, softwareVersion, storageRequirements, supportingData, author, citation, contributor, copyrightHolder, copyrightYear, dateCreated, dateModified, datePublished, editor, encoding, fileFormat, funder, keywords, license, producer, provider, publisher, sponsor, version, isAccessibleForFree, isPartOf, hasPart, position, description, identifier, name, sameAs, url, relatedLink, givenName, familyName, email, affiliation, identifier, name, address, , , softwareSuggestions, maintainer, continuousIntegration, buildInstructions, developmentStatus, embargoEndDate, funding, issueTracker, referencePublication, readme, creator, review, reviewAspect, reviewBody, endDate, roleName, startDate', 'codemeta': {}}
  • result: {'type': 'float', 'value': 0.0}

15065535

Meta

  • generated_at: 2025-05-14T07:02:53.836071
  • workflow: {'name': 'CodeMetaEvaluator', 'url': '', 'version': 'v0.0.1'}

Data

  • indicator: {'id': 'F1', 'name': 'CodemetaCompleteness', 'identifier': ''}
  • artifacts: {'url': '', 'softwareVersion': '0.10.0', '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, permissions, processorRequirements, releaseNotes, softwareHelp, storageRequirements, supportingData, citation, copyrightHolder, copyrightYear, dateCreated, editor, encoding, fileFormat, producer, provider, publisher, sponsor, isAccessibleForFree, hasPart, position, sameAs, url, relatedLink, givenName, familyName, email, affiliation, address, , , softwareSuggestions, continuousIntegration, buildInstructions, embargoEndDate, 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/BSD-3-Clause', 'codeRepository': 'https://github.com/ctlearn-project/ctlearn', 'contIntegration': 'https://github.com/ctlearn-project/ctlearn/actions', 'datePublished': '2023-05-08', 'dateModified': '2025-03-13', 'downloadUrl': 'https://zenodo.org/record/5947837/files/ctlearn-project/ctlearn-v0.10.0.zip', 'issueTracker': 'https://github.com/ctlearn-project/ctlearn/issues', 'name': 'CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction', 'readme': 'https://ctlearn.readthedocs.io', 'version': '0.10.0', 'softwareVersion': '0.10.0', 'identifier': '10.5281/zenodo.3342952', 'description': 'CTLearn is a high-level Python package providing a backend for training deep learning models for the reconstruction of imaging atmospheric Cherenkov telescope events using TensorFlow.', 'applicationCategory': 'Astronomy', 'funding': 'ESCAPE 824064', 'developmentStatus': 'active', 'isPartOf': 'https://github.com/ctlearn-project', 'referencePublication': 'https://doi.org/10.5281/zenodo.3342952', 'funder': {'@type': 'Organization', 'name': "European Union's Horizon 2020 research and innovation programme"}, 'keywords': ['Imaging atmospheric Cherenkov telescopes', 'Deep learning', 'High energy physics', 'Event reconstruction'], 'programmingLanguage': ['Python 3'], 'operatingSystem': ['Linux', 'MacOS'], 'softwareRequirements': ['Python 3', 'TensorFlow 2', 'astropy', 'scikit-learn', 'ctapipe', 'DL1DataHandler', 'numba', 'NumPy', 'PyYAML', 'PyDot', 'Pandas'], 'author': [{'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1821-7964', 'givenName': 'Tjark', 'familyName': 'Miener', 'affiliation': {'@type': 'Organization', 'name': 'Département de Physique Nucléaire et Corpusculaire, Univertité de Genève, Genève, Switzerland'}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3343-0755', 'givenName': 'Daniel', 'familyName': 'Nieto', 'email': 'd.nieto@ucm.es', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': ' https://orcid.org/ 0000-0002-6208-5244', 'givenName': 'Ari', 'familyName': 'Brill'}, {'@type': 'Person', 'givenName': 'Bryan', 'familyName': 'Kim', 'affiliation': {'@type': 'Organization', 'name': 'University of California Los Angeles, Division of Astronomy and Astrophysics, Los Angeles, CA, USA'}}, {'@type': 'Person', '@id': ' https://orcid.org/0000-0001-6674-4238', 'givenName': 'Qi', 'familyName': 'Feng', 'affiliation': {'@type': 'Organization', 'name': 'Barnard College, Columbia University, New York, NY, USA'}}], 'contributor': [{'@type': 'Person', '@id': ' https://orcid.org/0009-0007-1566-9507', 'givenName': 'Alexander', 'familyName': 'Cerviño Cortínez', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain'}}, {'@type': 'Person', '@id': ' https://orcid.org/0000-0002-4454-1146', 'givenName': 'Jaime', 'familyName': 'Sevilla', 'affiliation': {'@type': 'Organization', 'name': 'Facultad de Ingeniería Informática, Universidad Complutense de Madrid, Madrid, Spain'}}], 'maintainer': [{'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3343-0755', 'givenName': 'Daniel', 'familyName': 'Nieto', 'email': 'd.nieto@ucm.es', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1821-7964', 'givenName': 'Tjark', 'familyName': 'Miener', 'affiliation': {'@type': 'Organization', 'name': 'Département de Physique Nucléaire et Corpusculaire, Univertité de Genève, Genève, Switzerland'}}]}}
  • result: {'type': 'float', 'value': 36.486486486486484}

3342954

Meta

  • generated_at: 2025-05-14T07:02:53.845096
  • workflow: {'name': 'CodeMetaEvaluator', 'url': '', 'version': 'v0.0.1'}

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: codeRepository, programmingLanguage, runtimePlatform, targetProduct, applicationCategory, applicationSubCategory, downloadUrl, fileSize, installUrl, memoryRequirements, operatingSystem, permissions, processorRequirements, releaseNotes, softwareHelp, softwareRequirements, softwareVersion, storageRequirements, supportingData, author, citation, contributor, copyrightHolder, copyrightYear, dateCreated, dateModified, datePublished, editor, encoding, fileFormat, funder, keywords, license, producer, provider, publisher, sponsor, version, isAccessibleForFree, isPartOf, hasPart, position, description, identifier, name, sameAs, url, relatedLink, givenName, familyName, email, affiliation, identifier, name, address, , , softwareSuggestions, maintainer, continuousIntegration, buildInstructions, developmentStatus, embargoEndDate, funding, issueTracker, referencePublication, readme, creator, review, reviewAspect, reviewBody, endDate, roleName, startDate', 'codemeta': {}}
  • result: {'type': 'float', 'value': 0.0}

6842323

Meta

  • generated_at: 2025-05-14T07:02:53.854121
  • workflow: {'name': 'CodeMetaEvaluator', 'url': '', 'version': 'v0.0.1'}

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, permissions, processorRequirements, releaseNotes, softwareHelp, softwareVersion, storageRequirements, supportingData, citation, copyrightHolder, copyrightYear, dateCreated, editor, encoding, fileFormat, producer, provider, publisher, sponsor, isAccessibleForFree, hasPart, position, sameAs, url, relatedLink, givenName, familyName, email, affiliation, address, , , softwareSuggestions, maintainer, continuousIntegration, buildInstructions, embargoEndDate, 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/BSD-3-Clause', 'codeRepository': 'git+https://github.com/ctlearn-project/ctlearn.git', 'contIntegration': 'https://app.travis-ci.com/github/ctlearn-project/ctlearn', 'datePublished': '2018-03-18', 'dateModified': '2022-03-30', 'downloadUrl': 'https://zenodo.org/record/5947837/files/ctlearn-project/ctlearn-v0.6.0.zip', 'issueTracker': 'https://github.com/ctlearn-project/ctlearn/issues', 'name': 'CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction', 'version': '0.6.0', 'identifier': '10.5281/zenodo.3342952', 'description': 'CTLearn is a high-level Python package providing a backend for training deep learning models for the reconstruction of imaging atmospheric Cherenkov telescope events using TensorFlow.', 'applicationCategory': 'Astronomy', 'funding': 'ESCAPE 824064', 'developmentStatus': 'active', 'isPartOf': 'https://github.com/ctlearn-project', 'referencePublication': 'https://doi.org/10.5281/zenodo.3342952', 'funder': {'@type': 'Organization', 'name': "European Union's Horizon 2020 research and innovation programme"}, 'keywords': ['Imaging atmospheric Cherenkov telescopes', 'Deep learning', 'High energy physics', 'Event reconstruction'], 'programmingLanguage': ['Python 3'], 'operatingSystem': ['Linux', 'MacOS'], 'softwareRequirements': ['Python 3', 'TensorFlow 2', 'ctapipe', 'DL1DataHandler', 'pyIRF', 'NumPy', 'PyYAML'], 'author': [{'@type': 'Person', '@id': ' https://orcid.org/ 0000-0002-6208-5244', 'givenName': 'Ari', 'familyName': 'Brill'}, {'@type': 'Person', 'givenName': 'Bryan', 'familyName': 'Kim', 'affiliation': {'@type': 'Organization', 'name': 'University of California Los Angeles, Division of Astronomy and Astrophysics, Los Angeles, CA, USA'}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3343-0755', 'givenName': 'Daniel', 'familyName': 'Nieto', 'email': 'd.nieto@ucm.es', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1821-7964', 'givenName': 'Tjark', 'familyName': 'Miener', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': ' https://orcid.org/ 0000-0001-6674-4238', 'givenName': 'Qi', 'familyName': 'Feng', 'affiliation': {'@type': 'Organization', 'name': 'Barnard College, Columbia University, New York, NY, USA'}}], 'contributor': [{'@type': 'Person', 'givenName': 'Jaime', 'familyName': 'Sevilla', 'affiliation': {'@type': 'Organization', 'name': 'Facultad de Ingeniería Informática, Universidad Complutense de Madrid, Madrid, Spain'}}]}}
  • result: {'type': 'float', 'value': 32.432432432432435}

15065761

Meta

  • generated_at: 2025-05-14T07:02:53.863249
  • workflow: {'name': 'CodeMetaEvaluator', 'url': '', 'version': 'v0.0.1'}

Data

  • indicator: {'id': 'F1', 'name': 'CodemetaCompleteness', 'identifier': ''}
  • artifacts: {'url': '', 'softwareVersion': '0.10.2', '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, permissions, processorRequirements, releaseNotes, softwareHelp, storageRequirements, supportingData, citation, copyrightHolder, copyrightYear, dateCreated, editor, encoding, fileFormat, producer, provider, publisher, sponsor, isAccessibleForFree, hasPart, position, sameAs, url, relatedLink, givenName, familyName, email, affiliation, address, , , softwareSuggestions, continuousIntegration, buildInstructions, embargoEndDate, 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/BSD-3-Clause', 'codeRepository': 'https://github.com/ctlearn-project/ctlearn', 'contIntegration': 'https://github.com/ctlearn-project/ctlearn/actions', 'datePublished': '2023-05-08', 'dateModified': '2025-03-21', 'downloadUrl': 'https://zenodo.org/record/5947837/files/ctlearn-project/ctlearn-v0.10.2.zip', 'issueTracker': 'https://github.com/ctlearn-project/ctlearn/issues', 'name': 'CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction', 'readme': 'https://ctlearn.readthedocs.io', 'version': '0.10.2', 'softwareVersion': '0.10.2', 'identifier': '10.5281/zenodo.3342952', 'description': 'CTLearn is a high-level Python package providing a backend for training deep learning models for the reconstruction of imaging atmospheric Cherenkov telescope events using TensorFlow.', 'applicationCategory': 'Astronomy', 'funding': 'ESCAPE 824064', 'developmentStatus': 'active', 'isPartOf': 'https://github.com/ctlearn-project', 'referencePublication': 'https://doi.org/10.5281/zenodo.3342952', 'funder': {'@type': 'Organization', 'name': "European Union's Horizon 2020 research and innovation programme"}, 'keywords': ['Imaging atmospheric Cherenkov telescopes', 'Deep learning', 'High energy physics', 'Event reconstruction'], 'programmingLanguage': ['Python 3'], 'operatingSystem': ['Linux', 'MacOS'], 'softwareRequirements': ['Python 3', 'TensorFlow 2', 'astropy', 'scikit-learn', 'ctapipe', 'DL1DataHandler', 'numba', 'NumPy', 'PyYAML', 'PyDot', 'Pandas'], 'author': [{'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1821-7964', 'givenName': 'Tjark', 'familyName': 'Miener', 'affiliation': {'@type': 'Organization', 'name': 'Département de Physique Nucléaire et Corpusculaire, Univertité de Genève, Genève, Switzerland'}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3343-0755', 'givenName': 'Daniel', 'familyName': 'Nieto', 'email': 'd.nieto@ucm.es', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': ' https://orcid.org/ 0000-0002-6208-5244', 'givenName': 'Ari', 'familyName': 'Brill'}, {'@type': 'Person', 'givenName': 'Bryan', 'familyName': 'Kim', 'affiliation': {'@type': 'Organization', 'name': 'University of California Los Angeles, Division of Astronomy and Astrophysics, Los Angeles, CA, USA'}}, {'@type': 'Person', '@id': ' https://orcid.org/0000-0001-6674-4238', 'givenName': 'Qi', 'familyName': 'Feng', 'affiliation': {'@type': 'Organization', 'name': 'Barnard College, Columbia University, New York, NY, USA'}}], 'contributor': [{'@type': 'Person', '@id': ' https://orcid.org/0009-0007-1566-9507', 'givenName': 'Alexander', 'familyName': 'Cerviño Cortínez', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain'}}, {'@type': 'Person', '@id': ' https://orcid.org/0000-0002-4454-1146', 'givenName': 'Jaime', 'familyName': 'Sevilla', 'affiliation': {'@type': 'Organization', 'name': 'Facultad de Ingeniería Informática, Universidad Complutense de Madrid, Madrid, Spain'}}], 'maintainer': [{'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3343-0755', 'givenName': 'Daniel', 'familyName': 'Nieto', 'email': 'd.nieto@ucm.es', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1821-7964', 'givenName': 'Tjark', 'familyName': 'Miener', 'affiliation': {'@type': 'Organization', 'name': 'Département de Physique Nucléaire et Corpusculaire, Univertité de Genève, Genève, Switzerland'}}]}}
  • result: {'type': 'float', 'value': 36.486486486486484}

3342953

Meta

  • generated_at: 2025-05-14T07:02:53.872257
  • workflow: {'name': 'CodeMetaEvaluator', 'url': '', 'version': 'v0.0.1'}

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: codeRepository, programmingLanguage, runtimePlatform, targetProduct, applicationCategory, applicationSubCategory, downloadUrl, fileSize, installUrl, memoryRequirements, operatingSystem, permissions, processorRequirements, releaseNotes, softwareHelp, softwareRequirements, softwareVersion, storageRequirements, supportingData, author, citation, contributor, copyrightHolder, copyrightYear, dateCreated, dateModified, datePublished, editor, encoding, fileFormat, funder, keywords, license, producer, provider, publisher, sponsor, version, isAccessibleForFree, isPartOf, hasPart, position, description, identifier, name, sameAs, url, relatedLink, givenName, familyName, email, affiliation, identifier, name, address, , , softwareSuggestions, maintainer, continuousIntegration, buildInstructions, developmentStatus, embargoEndDate, funding, issueTracker, referencePublication, readme, creator, review, reviewAspect, reviewBody, endDate, roleName, startDate', 'codemeta': {}}
  • result: {'type': 'float', 'value': 0.0}

11475531

Meta

  • generated_at: 2025-05-14T07:02:53.881133
  • workflow: {'name': 'CodeMetaEvaluator', 'url': '', 'version': 'v0.0.1'}

Data

  • indicator: {'id': 'F1', 'name': 'CodemetaCompleteness', 'identifier': ''}
  • artifacts: {'url': '', 'softwareVersion': '0.7.0', '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, permissions, processorRequirements, releaseNotes, softwareHelp, storageRequirements, supportingData, citation, copyrightHolder, copyrightYear, dateCreated, editor, encoding, fileFormat, producer, provider, publisher, sponsor, isAccessibleForFree, hasPart, position, sameAs, url, relatedLink, givenName, familyName, email, affiliation, address, , , softwareSuggestions, continuousIntegration, buildInstructions, embargoEndDate, 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/BSD-3-Clause', 'codeRepository': 'https://github.com/ctlearn-project/ctlearn', 'contIntegration': 'https://github.com/ctlearn-project/ctlearn/actions', 'datePublished': '2023-05-08', 'dateModified': '2023-05-08', 'downloadUrl': 'https://zenodo.org/record/5947837/files/ctlearn-project/ctlearn-v0.7.0.zip', 'issueTracker': 'https://github.com/ctlearn-project/ctlearn/issues', 'name': 'CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction', 'readme': 'https://ctlearn.readthedocs.io', 'version': '0.7.0', 'softwareVersion': '0.7.0', 'identifier': '10.5281/zenodo.3342952', 'description': 'CTLearn is a high-level Python package providing a backend for training deep learning models for the reconstruction of imaging atmospheric Cherenkov telescope events using TensorFlow.', 'applicationCategory': 'Astronomy', 'funding': 'ESCAPE 824064', 'developmentStatus': 'active', 'isPartOf': 'https://github.com/ctlearn-project', 'referencePublication': 'https://doi.org/10.5281/zenodo.3342952', 'funder': {'@type': 'Organization', 'name': "European Union's Horizon 2020 research and innovation programme"}, 'keywords': ['Imaging atmospheric Cherenkov telescopes', 'Deep learning', 'High energy physics', 'Event reconstruction'], 'programmingLanguage': ['Python 3'], 'operatingSystem': ['Linux', 'MacOS'], 'softwareRequirements': ['Python 3', 'TensorFlow 2', 'tf2onnx', 'ctapipe', 'ctaplot', 'DL1DataHandler', 'numba', 'NumPy', 'PyYAML', 'pyIRF', 'Pandas'], 'author': [{'@type': 'Person', '@id': ' https://orcid.org/ 0000-0002-6208-5244', 'givenName': 'Ari', 'familyName': 'Brill'}, {'@type': 'Person', 'givenName': 'Bryan', 'familyName': 'Kim', 'affiliation': {'@type': 'Organization', 'name': 'University of California Los Angeles, Division of Astronomy and Astrophysics, Los Angeles, CA, USA'}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3343-0755', 'givenName': 'Daniel', 'familyName': 'Nieto', 'email': 'd.nieto@ucm.es', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1821-7964', 'givenName': 'Tjark', 'familyName': 'Miener', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': ' https://orcid.org/ 0000-0001-6674-4238', 'givenName': 'Qi', 'familyName': 'Feng', 'affiliation': {'@type': 'Organization', 'name': 'Barnard College, Columbia University, New York, NY, USA'}}], 'contributor': [{'@type': 'Person', 'givenName': 'Jaime', 'familyName': 'Sevilla', 'affiliation': {'@type': 'Organization', 'name': 'Facultad de Ingeniería Informática, Universidad Complutense de Madrid, Madrid, Spain'}}], 'maintainer': [{'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3343-0755', 'givenName': 'Daniel', 'familyName': 'Nieto', 'email': 'd.nieto@ucm.es', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1821-7964', 'givenName': 'Tjark', 'familyName': 'Miener', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}]}}
  • result: {'type': 'float', 'value': 36.486486486486484}

12742579

Meta

  • generated_at: 2025-05-14T07:02:53.890045
  • workflow: {'name': 'CodeMetaEvaluator', 'url': '', 'version': 'v0.0.1'}

Data

  • indicator: {'id': 'F1', 'name': 'CodemetaCompleteness', 'identifier': ''}
  • artifacts: {'url': '', 'softwareVersion': '0.7.0', '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, permissions, processorRequirements, releaseNotes, softwareHelp, storageRequirements, supportingData, citation, copyrightHolder, copyrightYear, dateCreated, editor, encoding, fileFormat, producer, provider, publisher, sponsor, isAccessibleForFree, hasPart, position, sameAs, url, relatedLink, givenName, familyName, email, affiliation, address, , , softwareSuggestions, continuousIntegration, buildInstructions, embargoEndDate, 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/BSD-3-Clause', 'codeRepository': 'https://github.com/ctlearn-project/ctlearn', 'contIntegration': 'https://github.com/ctlearn-project/ctlearn/actions', 'datePublished': '2023-05-08', 'dateModified': '2023-05-08', 'downloadUrl': 'https://zenodo.org/record/5947837/files/ctlearn-project/ctlearn-v0.7.0.zip', 'issueTracker': 'https://github.com/ctlearn-project/ctlearn/issues', 'name': 'CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction', 'readme': 'https://ctlearn.readthedocs.io', 'version': '0.7.0', 'softwareVersion': '0.7.0', 'identifier': '10.5281/zenodo.3342952', 'description': 'CTLearn is a high-level Python package providing a backend for training deep learning models for the reconstruction of imaging atmospheric Cherenkov telescope events using TensorFlow.', 'applicationCategory': 'Astronomy', 'funding': 'ESCAPE 824064', 'developmentStatus': 'active', 'isPartOf': 'https://github.com/ctlearn-project', 'referencePublication': 'https://doi.org/10.5281/zenodo.3342952', 'funder': {'@type': 'Organization', 'name': "European Union's Horizon 2020 research and innovation programme"}, 'keywords': ['Imaging atmospheric Cherenkov telescopes', 'Deep learning', 'High energy physics', 'Event reconstruction'], 'programmingLanguage': ['Python 3'], 'operatingSystem': ['Linux', 'MacOS'], 'softwareRequirements': ['Python 3', 'TensorFlow 2', 'tf2onnx', 'ctapipe', 'ctaplot', 'DL1DataHandler', 'numba', 'NumPy', 'PyYAML', 'pyIRF', 'Pandas'], 'author': [{'@type': 'Person', '@id': ' https://orcid.org/ 0000-0002-6208-5244', 'givenName': 'Ari', 'familyName': 'Brill'}, {'@type': 'Person', 'givenName': 'Bryan', 'familyName': 'Kim', 'affiliation': {'@type': 'Organization', 'name': 'University of California Los Angeles, Division of Astronomy and Astrophysics, Los Angeles, CA, USA'}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3343-0755', 'givenName': 'Daniel', 'familyName': 'Nieto', 'email': 'd.nieto@ucm.es', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1821-7964', 'givenName': 'Tjark', 'familyName': 'Miener', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': ' https://orcid.org/ 0000-0001-6674-4238', 'givenName': 'Qi', 'familyName': 'Feng', 'affiliation': {'@type': 'Organization', 'name': 'Barnard College, Columbia University, New York, NY, USA'}}], 'contributor': [{'@type': 'Person', 'givenName': 'Jaime', 'familyName': 'Sevilla', 'affiliation': {'@type': 'Organization', 'name': 'Facultad de Ingeniería Informática, Universidad Complutense de Madrid, Madrid, Spain'}}], 'maintainer': [{'@type': 'Person', '@id': 'https://orcid.org/0000-0003-3343-0755', 'givenName': 'Daniel', 'familyName': 'Nieto', 'email': 'd.nieto@ucm.es', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}, {'@type': 'Person', '@id': 'https://orcid.org/0000-0003-1821-7964', 'givenName': 'Tjark', 'familyName': 'Miener', 'affiliation': {'@type': 'Organization', 'name': 'Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain '}}]}}
  • result: {'type': 'float', 'value': 36.486486486486484}

7908252

Meta

  • generated_at: 2025-05-14T07:02:53.898989
  • workflow: {'name': 'CodeMetaEvaluator', 'url': '', 'version': 'v0.0.1'}

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: codeRepository, programmingLanguage, runtimePlatform, targetProduct, applicationCategory, applicationSubCategory, downloadUrl, fileSize, installUrl, memoryRequirements, operatingSystem, permissions, processorRequirements, releaseNotes, softwareHelp, softwareRequirements, softwareVersion, storageRequirements, supportingData, author, citation, contributor, copyrightHolder, copyrightYear, dateCreated, dateModified, datePublished, editor, encoding, fileFormat, funder, keywords, license, producer, provider, publisher, sponsor, version, isAccessibleForFree, isPartOf, hasPart, position, description, identifier, name, sameAs, url, relatedLink, givenName, familyName, email, affiliation, identifier, name, address, , , softwareSuggestions, maintainer, continuousIntegration, buildInstructions, developmentStatus, embargoEndDate, funding, issueTracker, referencePublication, readme, creator, review, reviewAspect, reviewBody, endDate, roleName, startDate', 'codemeta': {}}
  • result: {'type': 'float', 'value': 0.0}

Logs

Processing record: Record #15065761 : CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction
Reloading codemeta from Zenodo
Getting all versions of the record from Zenodo
Versions: {3345947: 'v0.4.0', 15021424: '0.10.0', 4576196: 'v0.5.0', 5772815: 'v0.5.1', 5947837: 'v0.5.2', 15065535: '0.10.0', 3342954: 'v0.4.0-legacy', 6842323: '0.6.0', 15065761: '0.10.2', 3342953: 'v0.3.1', 11475531: '0.8.0', 12742579: '0.8.0', 7908252: '0.7.0'}
Error getting codemeta: No `codemeta.json` file found in record 3345947 in record Record #3345947 : CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction
retrieved codemeta for version 3345947, created: 2019-07-22 17:44:38.636984+00:00, modified: 2023-05-08 14:23:19.158451+00:00
retrieved codemeta for version 15021424, created: 2025-03-13 18:08:28.928615+00:00, modified: 2025-03-13 18:08:29.051260+00:00
Error getting codemeta: No `codemeta.json` file found in record 4576196 in record Record #4576196 : CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction
retrieved codemeta for version 4576196, created: 2021-03-03 13:48:43.663474+00:00, modified: 2023-05-08 14:23:19.534640+00:00
Error getting codemeta: No `codemeta.json` file found in record 5772815 in record Record #5772815 : CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction
retrieved codemeta for version 5772815, created: 2021-12-10 16:17:54.403556+00:00, modified: 2023-05-08 14:23:19.754414+00:00
Error getting codemeta: No `codemeta.json` file found in record 5947837 in record Record #5947837 : CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction
retrieved codemeta for version 5947837, created: 2022-02-02 12:10:27.263802+00:00, modified: 2023-05-08 14:23:19.965856+00:00
retrieved codemeta for version 15065535, created: 2025-03-21 16:26:38.051707+00:00, modified: 2025-03-21 16:26:38.250960+00:00
Error getting codemeta: No `codemeta.json` file found in record 3342954 in record Record #3342954 : CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction
retrieved codemeta for version 3342954, created: 2019-07-19 13:52:19.865890+00:00, modified: 2023-05-08 14:23:18.930447+00:00
retrieved codemeta for version 6842323, created: 2022-07-15 22:33:22.140057+00:00, modified: 2023-05-08 14:23:20.201406+00:00
retrieved codemeta for version 15065761, created: 2025-03-21 17:09:20.047399+00:00, modified: 2025-03-21 17:09:20.195130+00:00
Error getting codemeta: No `codemeta.json` file found in record 3342953 in record Record #3342953 : ctlearn-project/ctlearn: Release v0.3.1
retrieved codemeta for version 3342953, created: 2019-07-19 13:51:21.391986+00:00, modified: 2023-05-08 14:23:18.496725+00:00
retrieved codemeta for version 11475531, created: 2024-07-05 09:00:37.974360+00:00, modified: 2024-07-05 09:43:56.517585+00:00
retrieved codemeta for version 12742579, created: 2024-07-15 08:47:49.038802+00:00, modified: 2024-07-15 08:47:49.217986+00:00
Error getting codemeta: Expecting ',' delimiter: line 41 column 9 (char 1665) in record Record #7908252 : CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction
retrieved codemeta for version 7908252, created: 2023-05-08 14:23:18.168043+00:00, modified: 2023-05-09 14:27:00.634872+00:00
Compute completeness for all versions
Completeness for 3345947 = 0.00%
Completeness for 15021424 = 36.49%
Completeness for 4576196 = 0.00%
Completeness for 5772815 = 0.00%
Completeness for 5947837 = 0.00%
Completeness for 15065535 = 36.49%
Completeness for 3342954 = 0.00%
Completeness for 6842323 = 32.43%
Completeness for 15065761 = 36.49%
Completeness for 3342953 = 0.00%
Completeness for 11475531 = 36.49%
Completeness for 12742579 = 36.49%
Completeness for 7908252 = 0.00%
Repo: https://github.com/ctlearn-project/ctlearn
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 wordnet not found.
  Please use the NLTK Downloader to obtain the resource:

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

  Attempted to load corpora/wordnet.zip/wordnet/

  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 wordnet not found.
  Please use the NLTK Downloader to obtain the resource:

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

  Attempted to load corpora/wordnet

  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/15065761/somef_codemeta_15065761.json