-
Notifications
You must be signed in to change notification settings - Fork 49
Compare distribution of differences in InterRowMSAS instead of average #805
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
base: main
Are you sure you want to change the base?
Conversation
Codecov Report✅ All modified and coverable lines are covered by tests. 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
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
|
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
LGTM!
272ed6d to
b0dc97c
Compare
| return np.nan | ||
| group = group.to_numpy() | ||
| with warnings.catch_warnings(): | ||
| warnings.filterwarnings('ignore', message='Mean of empty slice') |
There was a problem hiding this comment.
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?
There was a problem hiding this comment.
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.
Resolve #800.
CU-86b75h34x