Feature: Add methods to PVectorMut similar to std::vec::Vec

[connortsui20]

Tracking Issue: #5028

Adds methods to PVec that are similar in nature to the methods available on the standard library Vec implementation.

Note that none of these are strictly necessary right now, but I wanted to have this now so we can write more meaningful tests (instead of ones that just track metadata like length and capacity).

I want to add these methods in the future, but they should probably come in a separate PR:

• into_iter
• retain (that takes a Fn(Option<&T>) -> bool instead of Fn(&T) -> bool
• retain_mut (similar to above but &mut T
• retain_indices (we can use this to implement filter for primitive arrays)
• extend_from_slice (a nice to have because we know the exact length of the slice and don't have to do all the weird iterator size hint stuff)
• copy_within
• fill_range
• drain (maybe we don't need this but I can see it being useful)
• splice (same)
• remove
• swap_remove

There are others, but probably a lot less important

[codecov]

Codecov Report

❌ Patch coverage is 95.98765% with 13 lines in your changes missing coverage. Please review.
✅ Project coverage is 85.57%. Comparing base (10a2c86) to head (5ebaa5e).
⚠️ Report is 6 commits behind head on develop.

Files with missing lines	Patch %	Lines
vortex-mask/src/mask_mut.rs	75.86%	7 Missing ⚠️
vortex-vector/src/primitive/generic.rs	87.50%	4 Missing ⚠️
vortex-vector/src/primitive/pvector_impl.rs	99.23%	2 Missing ⚠️

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[codspeed-hq]

CodSpeed Performance Report

Merging #5079 will degrade performances by 37.81%

_{Comparing ct/vv-methods (fcafdd5) with develop (10a2c86)¹}

Summary

⚡ 5 improvements
❌ 5 regressions
✅ 1308 untouched
🆕 7 new
⏩ 22 skipped²

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

Benchmarks breakdown

	Benchmark	BASE	HEAD	Change
⚡	patched_take_200k_dispersed	5.7 ms	4.7 ms	+19.69%
⚡	patched_take_200k_first_chunk_only	5.4 ms	4.8 ms	+11.82%
⚡	take_200k_dispersed	4.6 ms	3.7 ms	+23.63%
⚡	take_200k_first_chunk_only	4.3 ms	3.4 ms	+25.55%
❌	new_alp_prim_test_between[f64, 32768]	174.1 µs	232.7 µs	-25.18%
⚡	new_bp_prim_test_between[i64, 32768]	217.2 µs	158.2 µs	+37.33%
❌	from_iter[BitBuffer, 1024]	7.1 µs	8.7 µs	-18.09%
❌	from_iter[BitBuffer, 16384]	41.3 µs	64.2 µs	-35.67%
❌	from_iter[BitBuffer, 2048]	9.3 µs	12.3 µs	-24.31%
❌	from_iter[BitBuffer, 65536]	150 µs	241.1 µs	-37.81%
🆕	decompress[("alp_for_bp_f64", 0x7588b0)]	N/A	24.2 ms	N/A
🆕	decompress[("datetime_for_bp", 0x75bb90)]	N/A	34.9 ms	N/A
🆕	decompress[("dict_fsst_varbin_bp_string", 0x75aca0)]	N/A	14.5 ms	N/A
🆕	decompress[("dict_fsst_varbin_string", 0x75a610)]	N/A	14.5 ms	N/A
🆕	decompress[("dict_varbinview_string", 0x7592d0)]	N/A	14.7 ms	N/A
🆕	decompress[("for_bp_u64", 0x758160)]	N/A	2.5 ms	N/A
🆕	decompress[("runend_for_bp_u32", 0x759760)]	N/A	2 ms	N/A

Footnotes

1. No successful run was found on develop (bd25e4a) during the generation of this report, so 10a2c86 was used instead as the comparison base. There might be some changes unrelated to this pull request in this report. ↩

2. 22 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. ↩

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