build: use numpy<2.0.0

[Marsmaennchen221]

Summary of Changes

Add clause to pyproject.toml to use a numpy version below 2.0 as torchvision does not yet support numpy 2.0 (See #898)

[github-actions]

🦙 MegaLinter status: ✅ SUCCESS

Descriptor	Linter	Files	Fixed	Errors	Elapsed time
✅ REPOSITORY	git_diff	yes		no	0.38s

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Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 97.73%. Comparing base (254617c) to head (af4174f).
Report is 34 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #899   +/-   ##
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  Coverage   97.73%   97.73%           
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  Files         121      121           
  Lines        6499     6499           
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  Hits         6352     6352           
  Misses        147      147           

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[lars-reimann]

Why do we need to pin the version of transitive dependencies? Doesn't torchvision declare itself that it needs major version 1 for numpy?

[Marsmaennchen221]

Why do we need to pin the version of transitive dependencies? Doesn't torchvision declare itself that it needs major version 1 for numpy?

torchvision does not specify any restrictions on the numpy version and as of pytorch version 2.3.0 pytorch does support numpy v2.0. While torchvision claims to be 98% compatible to Numpy v2.0, a few important methods like read_image or save_image do not support v2.0. So if you install the most recent version of safe-ds you will get numpy 2.0, but a few key methods like Image.from_file will not work.

[lars-reimann]

torchvision does not specify any restrictions on the numpy version

😠

[lars-reimann]

🎉 This PR is included in version 0.27.0 🎉

The release is available on:

• v0.27.0
• GitHub release

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