Automated Integration Test Goldens Update from CI

[datacommons-robot-author]

This pull request updates the golden files automatically via Cloud Build. Please review the changes carefully. Cloud Build Log

[gemini-code-assist]

Summary of Changes

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This pull request contains automated updates to integration test golden files generated by Cloud Build. These changes ensure that the test expectations remain aligned with the latest data processing outputs, preventing regression failures in the CI pipeline.

Highlights

• Golden File Updates: Updated various integration test golden files to reflect recent data changes in chart configurations.
• Configuration Refinement: Adjusted statistical variable keys and facet identifiers across multiple test datasets to ensure consistency with current data exports.

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[gemini-code-assist]

Code Review

This pull request updates several integration test chart configurations, including removing a hate crime variable, swapping male and female labor force variables, updating facet IDs for female population metrics, and adding a quantity classification to a state PhD ranking query. Regarding the feedback, the addition of a quantity classification with a minimum float value (2.2250738585072014e-308) to the stateswithhighestphds ranking query appears to be a regression in the quantity detection logic or LLM parser and should be investigated.

[gemini-code-assist]

The query stateswithhighestphds is a ranking query and should not trigger a quantity classification. The addition of a quantity classification with val: 2.2250738585072014e-308 (which is sys.float_info.min) suggests a regression or bug in the quantity detection logic or LLM parser. Please investigate why this query is being classified as a quantity query with a minimum float value.