Fill missing values with NaN in observation_data_to_array #2430
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This pull request was exported from Phabricator. Differential Revision: D56949439 |
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #2430 +/- ##
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- Coverage 95.30% 95.30% -0.01%
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Files 494 494
Lines 47920 47918 -2
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- Hits 45670 45668 -2
Misses 2250 2250 ☔ View full report in Codecov by Sentry. |
) Summary: This would previously filter out the observations with missing metrics with a warning, which could lead to issues in downstream usage. Returning the observations with NaN lets the downstream users deal with NaNs while keeping the expected return shapes. Reviewed By: mpolson64 Differential Revision: D56949439
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This pull request was exported from Phabricator. Differential Revision: D56949439 |
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) Summary: This would previously filter out the observations with missing metrics with a warning, which could lead to issues in downstream usage. Returning the observations with NaN lets the downstream users deal with NaNs while keeping the expected return shapes. Reviewed By: mpolson64 Differential Revision: D56949439
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This pull request has been merged in 6c2fce9. |
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Summary: This would previously filter out the observations with missing metrics with a warning, which could lead to issues in downstream usage. Returning the observations with NaN lets the downstream users deal with NaNs while keeping the expected return shapes.
Differential Revision: D56949439