Remove the python feature from vortex-error

[AdamGS]

Instead of using a feature just for an error type, we introduce a new error type that helps us localize the functionality into vortex-python, similarly to the PyVortex type.

Like #6059, this should also help with CI and simplify our internal dependency matrix.

[codspeed-hq]

CodSpeed Performance Report

Merging this PR will degrade performance by 15.9%

_{Comparing adamg/remove-python-error-feature (228d8d4) with develop (9d568d4)}

Summary

⚡ 10 improved benchmarks
❌ 3 regressed benchmarks
✅ 1241 untouched benchmarks
⏩ 1254 skipped benchmarks¹

⚠️ Please fix the performance issues or acknowledge them on CodSpeed.

Performance Changes

	Mode	Benchmark	BASE	HEAD	Efficiency
⚡	Simulation	canonical_into_non_nullable[(10000, 1, 0.0)]	38.9 µs	30.8 µs	+26.35%
⚡	Simulation	canonical_into_non_nullable[(10000, 1, 0.1)]	60.3 µs	52 µs	+15.88%
⚡	Simulation	canonical_into_non_nullable[(10000, 100, 0.0)]	2.7 ms	1.9 ms	+41.87%
⚡	Simulation	canonical_into_non_nullable[(10000, 1, 0.01)]	44.2 µs	36 µs	+22.59%
⚡	Simulation	canonical_into_non_nullable[(10000, 100, 0.1)]	4.5 ms	3.7 ms	+22.01%
⚡	Simulation	canonical_into_non_nullable[(10000, 100, 0.01)]	2.9 ms	2.1 ms	+37.75%
❌	Simulation	canonical_into_nullable[(10000, 10, 0.0)]	445.1 µs	529.3 µs	-15.9%
⚡	Simulation	into_canonical_non_nullable[(10000, 100, 0.1)]	4.6 ms	3.8 ms	+21.69%
⚡	Simulation	into_canonical_non_nullable[(10000, 100, 0.01)]	3 ms	2.2 ms	+36.49%
⚡	Simulation	into_canonical_non_nullable[(10000, 100, 0.0)]	2.7 ms	1.9 ms	+41.57%
❌	Simulation	into_canonical_nullable[(10000, 10, 0.1)]	632.5 µs	710.8 µs	-11.02%
⚡	Simulation	into_canonical_nullable[(10000, 100, 0.0)]	5.2 ms	4.4 ms	+18.71%
❌	Simulation	into_canonical_nullable[(10000, 10, 0.0)]	452.8 µs	538 µs	-15.83%

Footnotes

1. 1254 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. ↩

[gatesn]

Can you type alias a PyVortexResult

[AdamGS]

done