Enable batch parallelization for CommonAlertsFilters

[kkovary]

Changelogs

Closes #27

• Added optional batch_size arg to CommonAlertsFilter.__call__ that conditionally uses dm.parallelized_with_batches

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Checklist:

• Was this PR discussed in an issue? It is recommended to first discuss a new feature into a GitHub issue before opening a PR.
• Add tests to cover the fixed bug(s) or the new introduced feature(s) (if appropriate).
• Update the API documentation is a new function is added, or an existing one is deleted.
• Write concise and explanatory changelogs above.
• If possible, assign one of the following labels to the PR: feature, fix or test (or ask a maintainer to do it for you).

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discussion related to that PR

[maclandrol]

Thanks @kkovary that's very nice. Could you address the lint ? I can merge after.

[kkovary]

@maclandrol made the lint fixes and updated pyproject.toml to get rid of a deprecation warning from ruff and to exclude Jupyter notebooks.

[maclandrol]

merging. Will address the black issue in another PR