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fix: normalize signed zero in nested float array comparisons - #5235

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divyankshah:fix/gh-5191-signed-zero-nested-float-comparison
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fix: normalize signed zero in nested float array comparisons#5235
divyankshah wants to merge 1 commit into
apache:mainfrom
divyankshah:fix/gh-5191-signed-zero-nested-float-comparison

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Which issue does this PR close?

Closes #5191.

Rationale for this change

Arrow's nested comparator (make_comparator, used by arrays_overlap's nested path and array_position's nested fallback) orders floats by total order, where -0.0 and 0.0 are distinct. Spark's ordering.equiv (used for structural equality of nested elements) checks numeric equality first, so -0.0 == 0.0 there, while NaN == NaN still holds in both.

What changes are included in this PR?

  • Add nested_float_normalize.rs: recursively rebuilds nested (List/LargeList/FixedSizeList/Struct) arrays with -0.0 normalized to 0.0 in Float32/Float64 leaves, leaving NaN untouched.
  • arrays_overlap.rs: normalize both sides before building the nested comparator; update test_nested_float_total_order to assert -0.0 and 0.0 now overlap; add test_struct_float_field_signed_zero_overlap covering a struct field.
  • array_position.rs: normalize both sides before building the fallback comparator; update test_nested_float_and_null_position (result changes from [2, 2, 1] to [2, 1, 1] since row 1's -0.0 vs 0.0 now matches at position 1); add test_struct_float_field_signed_zero_position covering a struct field.

Note: #5194 is a separate issue (#5101, comparator-hoisting for perf) but touches the same comparator-construction code path. Happy to rebase on top of whichever lands first.

How are these changes tested?

  • cargo test -p datafusion-comet-spark-expr — all 600+ tests pass, including the new/updated ones above.
  • cargo clippy -p datafusion-comet-spark-expr --lib -- -D warnings — clean.
  • cargo fmt -p datafusion-comet-spark-expr -- --check — clean.
  • cargo check --workspace — clean.

Arrow's nested comparator uses total order, where -0.0 and 0.0 are
distinct, but Spark's ordering.equiv treats them as equal, while
still treating NaN as equal to itself. Normalize negative zero in
nested float leaves before building the comparator so
arrays_overlap and array_position match Spark's semantics.

Ref apache#5191
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Nested array comparison does not match Spark for signed zero

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