feat(python): fail soft on unsupported Polars predicates in to_polars

[robert3005]

Previously any Polars predicate that polars_to_vortex could not convert raised NotImplementedError inside _io_source, failing the whole collect(). Instead, decompose the predicate into its top-level AND conjuncts, push the convertible conjuncts into the Vortex scan, and evaluate the residual conjuncts with Polars on each yielded batch.

Since Polars does not re-apply a predicate handed to an IO source, both parts are always applied, and a row limit is only pushed into the scan when there is no residual filter (otherwise it is enforced after filtering each batch).

[codspeed]

Merging this PR will degrade performance by 12.33%

⚠️ Unknown Walltime execution environment detected

Using the Walltime instrument on standard Hosted Runners will lead to inconsistent data.

For the most accurate results, we recommend using CodSpeed Macro Runners: bare-metal machines fine-tuned for performance measurement consistency.

⚠️ 1 benchmark measured no execution time

Nothing ran under measurement, usually because the compiler removed the code under test. This result is not comparable, so it counts as unchanged.

Preventing compiler optimizations

• bench_compare_primitive[(10000, 2)]

⚠️ 11 benchmarks spent significant time in system calls

System calls cannot be consistently instrumented, so they are not included in the measure, which understates the real cost. Please switch to the Walltime instrument to accurately measure system calls.

Measurement and system calls

• pcodec_compress_f64
• compress_fsst[(500, 16, 8)]
• random_i128[0.01]
• take_varbin
• multipolygon_mixed_validity
• filter_run_end[len=4096_run=16_density=0.1]
• decompress[u32, (1000, 256)]
• decompress[u16, (4000, 256)]
• zstd_compress_string
• from_vec_drop_vortex[65536]
• …and 1 more

❌ 1 regressed benchmark
✅ 2182 untouched benchmarks
⏩ 359 skipped benchmarks¹

Warning

Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
❌	WallTime	bitpack_blocked_compress_avx2	6.7 µs	7.7 µs	-12.33%

Tip

Investigate this regression by commenting @codspeedbot fix this regression on this PR, or directly use the CodSpeed MCP with your agent.

---

_{Comparing claude/polars-predicate-soft-fail-pfg49n (147344b) with develop (731a231)}

Footnotes

1. 359 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. ↩