Repository navigation
Conversation
Co-authored-by: ADCollard <40322596+ADCollard@users.noreply.github.com>
Copilot
AI
changed the title
[WIP] Simplify bias staging logic by removing bias_files_dict usage
Simplify JEDI shared bias input staging
Sep 9, 2026
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Description
Bias input staging in
ush/python/pygfs/jedi/jedi.pywas still routing throughbias_files_dicteven though every supported observation resolved to the same archive,varbc_params.tar. This change makes the shared-archive behavior explicit instage_obsbiasin()and leavessave_obsbiasout()unchanged.Bias input staging
varbc_params.tar, whenobservationsis non-empty.bias_files_dictlookups in this module.Behavior preserved
Regression coverage
Type of change
Change characteristics
How has this been tested?
dev/ci/scripts/unittests/test_jedi_bias_staging.pyfor shared-archive staging, duplicate observations, and missing-archive warnings.Checklist