Execute tensor product functions with RowFn

[connortsui20]

Summary

• Tracking Issue: Epic: Row-oriented scalar functions #9128
• Depends on: Execute tensor L2 norm with RowFn #9768

Moves inner product and cosine similarity to RowFn without changing their arithmetic contracts.

Changes

Inner product keeps the existing left-to-right multiply-and-sum order. Cosine computes that dot product followed by both L2 norms and the existing zero-denominator guard, with no encoded reduction, reassociation, or constant-norm shortcut. Tests cover nulls, empty and zero-width rows, IEEE overflow and underflow, and bitwise agreement between constant encodings and materialized rows.

[codspeed]

Merging this PR will improve performance by 74.77%

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⚡ 13 improved benchmarks
✅ 2185 untouched benchmarks
⏩ 218 skipped benchmarks¹

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
⚡	Simulation	column_x_constant[2]	457.8 µs	131 µs	×3.5
⚡	Simulation	column_x_constant[32]	393 µs	131.8 µs	×3
⚡	Simulation	column_x_column[2]	203.5 µs	101.6 µs	×2
⚡	Simulation	column_x_constant[256]	593.7 µs	311.4 µs	+90.66%
⚡	Simulation	nullable[2]	593.3 µs	324.4 µs	+82.9%
⚡	Simulation	non_nullable[2]	593.7 µs	328.6 µs	+80.68%
⚡	Simulation	column_x_extension_constant[2]	247.3 µs	146.7 µs	+68.65%
⚡	Simulation	nullable[2]	631.4 µs	417 µs	+51.41%
⚡	Simulation	column_x_extension_constant[256]	418.8 µs	277.3 µs	+51%
⚡	Simulation	non_nullable[2]	630.7 µs	419.3 µs	+50.43%
⚡	Simulation	column_x_extension_constant[32]	171.2 µs	134.6 µs	+27.22%
⚡	Simulation	column_x_column[32]	94.7 µs	76.6 µs	+23.57%
⚡	Simulation	column_x_column[256]	88.8 µs	75.1 µs	+18.33%

Tip

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_{Comparing ct/row-fn-tensor-products-v2 (79a44f7) with develop (d0a42e6)²}

Footnotes

1. 218 benchmarks were skipped, so the baseline results were used instead. If they were deleted from the codebase, click here and archive them to remove them from the performance reports. ↩

2. No successful run was found on develop (47c76eb) during the generation of this report, so d0a42e6 was used instead as the comparison base. There might be some changes unrelated to this pull request in this report. ↩