fix: rows_distinct() shouldn't drop null rows#399
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This PR addresses the handling of duplicate row detection, especially in the presence of null values. This improves both correctness and cross-backend consistency. The changes update the implementation to treat nulls as equal when checking for duplicates, revise the test expectations accordingly, and enhance test coverage for both Polars and Pandas backends. Additionally, the validation logic is updated to ensure proper grouping even when nulls are present.
Fixes: #397