The pyQuARC tool reads and evaluates metadata records with a focus on the consistency and robustness of the metadata. pyQuARC flags opportunities to improve or add to contextual metadata information in order to help the user connect to relevant data products. pyQuARC also ensures that information common to both the data product and the file-level metadata are consistent and compatible. pyQuARC frees up human evaluators to make more sophisticated assessments such as whether an abstract accurately describes the data and provides the correct contextual information. The base pyQuARC package assesses descriptive metadata used to catalog Earth observation data products and files. As open source software, pyQuARC can be adapted and customized by data providers to allow for quality checks that evolve with their needs, including checking metadata not covered in base package.
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Bumps lxml from 4.6.3 to 4.6.5.
Changelog
Sourced from lxml's changelog.
Commits
a9611ba
Fix a test in Py2.a3eacbc
Prepare release of 4.6.5.b7ea687
Update changelog.69a7473
Cleaner: cover some more cases where scripts could sneak through in specially...54d2985
Fix condition in test decorator.4b220b5
Use the non-depcrecated TextTestResult instead of _TextTestResult (GH-333)d85c6de
Exclude a test when using the macOS system libraries because it fails with li...cd4bec9
Add macOS-M1 as wheel build platform.fd0d471
Install automake and libtool in macOS build to be able to install the latest ...f233023
Cleaner: Remove SVG image data URLs since they can embed script content.Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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