Skip to content

Conversation

@sarahmish
Copy link
Contributor

Resolve #800.
CU-86b75h34x

@sarahmish sarahmish requested a review from a team as a code owner October 24, 2025 13:27
@sarahmish sarahmish requested review from gsheni and removed request for a team October 24, 2025 13:27
@sdv-team
Copy link
Contributor

@sarahmish sarahmish requested a review from R-Palazzo October 24, 2025 13:28
@sarahmish sarahmish self-assigned this Oct 24, 2025
@codecov
Copy link

codecov bot commented Oct 24, 2025

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 95.74%. Comparing base (0a08157) to head (b0dc97c).

Additional details and impacted files
@@            Coverage Diff             @@
##             main     #805      +/-   ##
==========================================
- Coverage   95.74%   95.74%   -0.01%     
==========================================
  Files         117      117              
  Lines        4748     4746       -2     
==========================================
- Hits         4546     4544       -2     
  Misses        202      202              
Flag Coverage Δ
integration 80.97% <0.00%> (+0.03%) ⬆️
unit 84.17% <100.00%> (-0.01%) ⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

Copy link
Contributor

@R-Palazzo R-Palazzo left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM!

@sarahmish sarahmish force-pushed the issue-800-compare-distribution-not-average branch from 272ed6d to b0dc97c Compare October 24, 2025 16:55
return np.nan
group = group.to_numpy()
with warnings.catch_warnings():
warnings.filterwarnings('ignore', message='Mean of empty slice')
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Do we need to check the warning does not show in the test?

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

After removing np.mean function, there shouldn't be a way to trigger "Mean of empty slice" warning.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

Update InterRowMSAS to compare the overall distributions between row n and n+1 (not the average)

4 participants