feat: add some of the kernels using cuda.compute

[maxymnaumchyk]

Closes #3978, closes #3997, closes #3998, closes #3999, closes #4000, closes #4001, closes #4002, closes #4003, closes #4004, closes #4005, closes #4006, closes #4007

These kernels are only ~2 times faster-->
IndexedArray_reduce_next_nonlocal_nextshifts_64 kernel before:

IndexedArray_reduce_next_nonlocal_nextshifts_64 kernel after:

IndexedArray_reduce_next_64 kernel before:

IndexedArray_reduce_next_64 kernel after:

IndexedArray_overlay_mask kernel before:

IndexedArray_overlay_mask kernel after:

[github-actions]

The documentation preview is ready to be viewed at http://preview.awkward-array.org.s3-website.us-east-1.amazonaws.com/PR3981

[maxymnaumchyk]

IndexedArray_reduce_next_64 kernel before:

IndexedArray_reduce_next_64 kernel after:

[codecov]

Codecov Report

❌ Patch coverage is 43.53448% with 131 lines in your changes missing coverage. Please review.
✅ Project coverage is 85.04%. Comparing base (6f6d816) to head (a7ac8a7).

Files with missing lines	Patch %	Lines
src/awkward/_connect/cuda/_compute.py	43.53%	131 Missing ⚠️

❌ Your patch check has failed because the patch coverage (43.53%) is below the target coverage (98.00%). You can increase the patch coverage or adjust the target coverage.

Additional details and impacted files

Files with missing lines	Coverage Δ
src/awkward/_backends/cupy.py	100.00% <ø> (ø)
src/awkward/_connect/cuda/_compute.py	57.47% <43.53%> (-11.15%)	⬇️

[maxymnaumchyk]

ByteMaskedArray_getitem_nextcarry kernel before:

ByteMaskedArray_getitem_nextcarry kernel after:

[maxymnaumchyk]

awkward_ByteMaskedArray_numnull kernel before:

awkward_ByteMaskedArray_numnull kernel after:

[maxymnaumchyk]

awkward_RegularArray_getitem_jagged_expand kernel before:

awkward_RegularArray_getitem_jagged_expand kernel after:

[maxymnaumchyk]

awkward_UnionArray_simplify_one kernel before:

awkward_UnionArray_simplify_one kernel after:

[maxymnaumchyk]

awkward_ListArray_broadcast_tooffsets kernel before:

awkward_ListArray_broadcast_tooffsets kernel after:

[maxymnaumchyk]

awkward_ListArray_localindex kernel before:

awkward_ListArray_localindex kernel after:

[maxymnaumchyk]

awkward_ListArray_compact_offsets kernel before:

awkward_ListArray_compact_offsets kernel after:

[maxymnaumchyk]

awkward_ListArray_combinations_length kernel before:

awkward_ListArray_combinations_length kernel after:

[maxymnaumchyk]

awkward_ListArray_combinations kernel before:

awkward_ListArray_combinations kernel after:

Just in case, I also manually tested the new kernel with n = 3 and replacement = True.

Also, there is a possible optimization that can be done -- to use the calculated offsets directly from awkward_ListArray_combinations_length (now, they are being discarded).

[maxymnaumchyk]

The awkward_UnionArray_nestedfill_tags_index kernel turned out to be a little slower: 0.006263 vs 0.006439 seconds. Add just for archive.

[ianna]

@maxymnaumchyk - Thanks! 12 more kernels migrated to cuda.compute! I'll enable auto-merge. The benchmarks will be updated after it is merged later today. Thanks.