coverage: 80.753%. remained the same
when pulling 5d9acb8 on heplesser:remove-pathlib
into 5213865 on G-Node:master.

Codecov Report

Attention: 2 lines in your changes are missing coverage. Please review.

Comparison is base (5213865) 91.02% compared to head (90ef0f3) 91.02%.

@@           Coverage Diff           @@
##           master     #422   +/-   ##
=======================================
  Coverage   91.02%   91.02%           
=======================================
  Files          64       64           
  Lines        8961     8961           
=======================================
  Hits         8157     8157           
  Misses        804      804           

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@jgrewe I noticed that several tests fail. Concerning the legacy linux failure, this seems to be related to a change in importlib, which causes problems for rdflib when using Python < 3.8. There is a workaround (see https://stackoverflow.com/questions/59216175/importerror-cannot-import-name-metadata-from-importlib#63159584) but that would have to be implemented in rdflib, and since Python 3.7 reached its end of life in June this year (https://devguide.python.org/versions/), it seems not right to ask the rdflib developers for such a change. Would you consider dropping Python 3.7 support so that this failure is not a problem? Also the macOS failure under 3.7 could be ignored then.

For Python 3.8 on macOS, I created a conda environment with Python 3.8 on my Mac (macOS 14.2) and could run python setup.py install and pip install -r requirements-test.txt there without problems. It installed pyyaml 6.0.1.

The macOS run for Python 3.10 seems to have been cancelled from the outside, not failed due to an error in the test process.

Do you have suggestions how to proceed?

BTW, Python 3.11 and 3.12 seem to be missing in your test roster.

@heplesser I am on it, there's also a deprecation warning I am going to fix in the same go ;)

Nice to see it all green now 👍

@heplesser just made the release. Hope, things run smoothly again. Thanks a lot for your input!

@jgrewe Thanks for the fast release, problem solved 👍 .