Refactor return standardization in optim_mixed.py#6140
Merged
nabenabe0928 merged 4 commits intooptuna:masterfrom Jun 9, 2025
Merged
Refactor return standardization in optim_mixed.py#6140nabenabe0928 merged 4 commits intooptuna:masterfrom
optim_mixed.py#6140nabenabe0928 merged 4 commits intooptuna:masterfrom
Conversation
nabenabe0928
reviewed
Jun 9, 2025
nabenabe0928
reviewed
Jun 9, 2025
Contributor
nabenabe0928
left a comment
There was a problem hiding this comment.
Could you merge the master branch?
I manually fixed the conflict, so please don't forget fetching your remote repository first!
Contributor
Author
Sure. Do you want me to do anything after merging my master branch? |
Contributor
|
@Ajay-Satish-01 |
Contributor
Author
No issues. Thanks :) |
optim_mixed.py
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Motivation
To standardize the return format of function in the file
optuna/_gp/optim_mixed.py.PR related to issue #6136 #6142
Description of the changes
return a, bNOTE
pre-commit run --all-files, the type issues ofoptuna/study/_multi_objective.pywere to be resolved. I fixed it as well in a separate commit.