[Buganizer 469679105] Fixed dynamic_results_metadata

[AmitJ98]

No description provided.

[gemini-code-assist]

Summary of Changes

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This pull request addresses a bug related to the dynamic_results_metadata handling by refining the data model and associated serialization/deserialization logic. It ensures that the ResultExample field can correctly accommodate dictionary types and standardizes how None values are represented as empty dictionaries in the built output, improving data consistency and robustness. Corresponding test strategies have also been updated to align with these changes.

Highlights

• Type Definition Update: The ResultExample field within the BuiltDynamicResultsMetadata TypedDict now explicitly supports dict as a valid type, alongside str.
• Deserialization Logic Refinement: The _from_built method has been updated to correctly interpret both empty strings ("") and empty dictionaries ({}) as None when processing the ResultExample field, ensuring consistent handling of empty values.
• Serialization Behavior Change: The to_built method now serializes None values for result_example into an empty dictionary ({}) instead of None when converting to the built metadata format.
• Test Strategy Alignment: The test strategies for ST_VALID_BUILT_DYNAMIC_RESULTS_DICT have been adjusted to reflect the new behavior, specifically including empty dictionaries as valid inputs for ResultExample.
• Version Bump: The project version for the mp package has been incremented from 1.21.10 to 1.21.11 in pyproject.toml and uv.lock.

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[gemini-code-assist]

Code Review

This pull request addresses a bug in dynamic_results_metadata by modifying how empty examples are represented. The changes involve updating the type hint for ResultExample to str | dict and adjusting the implementation to use an empty dictionary {} instead of None for empty cases. The accompanying test strategies have been updated accordingly. While the fix is correct, I've provided suggestions to further improve the consistency of the ResultExample type by making it always a str. This would simplify the data model and its usage by ensuring the example is always a JSON-encoded string.