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Automated Integration Test Goldens Update from CI #6000
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| 0.38543, | ||
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| "Query": "what types of genes are and", | ||
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Contributor
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This change rounds the score to 4 decimal places, which is good. However, other scores in this array still have varying precision, leading to inconsistency. To make these golden file tests more robust against minor model output variations, all floating-point scores should be rounded to a consistent precision. For example, all scores in this list could be rounded to 4 decimal places: [
...,
0.6339,
0.6323,
0.6322,
0.6305,
0.6303,
0.6298,
0.6296
]References
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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.
While reducing the precision of this score is a good step, the scores in this list now have inconsistent precision. To improve test stability and reduce noise from minor model fluctuations, it's recommended to enforce a consistent, lower precision for all floating-point scores in test data.
For consistency, consider rounding all scores in this array to 4 decimal places. For example:
References