TST use global_random_seed in sklearn/feature_extraction/tests/test_image.py #31310
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Hello :)
Reference Issues/PRs
This aims to solve the PR #22827 with regard to the mentioned test file.
What does this implement/fix? Explain your changes.
I added some additional global_random_seed's to replace the previously hardcoded random_state's and RandomState()'s.
Any other comments?
Running pytest on this test file before and after the edit yields similar results, in a similar runtime.