TST use global_random_seed in sklearn/feature_extraction/tests/test_image.py #31310
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
test_patch_extractor_fit test_patch_extractor_max_patches test_patch_extractor_max_patches_default test_patch_extractor_all_patches test_patch_extractor_color
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
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.