C++ refactoring: ak.full_like, ak.zeros_like, ak.ones_like

[ioanaif]

No description provided.

[codecov]

Codecov Report

Merging #1293 (0e4a6d5) into main (8e68200) will increase coverage by 1.65%.
The diff coverage is 75.35%.

Impacted Files	Coverage Δ
src/awkward/_v2/_connect/numba/arrayview.py	96.24% <ø> (ø)
src/awkward/_v2/_connect/numba/layout.py	87.01% <ø> (ø)
src/awkward/_v2/forms/emptyform.py	78.18% <ø> (-0.25%)	⬇️
src/awkward/_v2/operations/convert/ak_from_cupy.py	25.00% <0.00%> (-50.00%)	⬇️
src/awkward/_v2/operations/structure/ak_isclose.py	100.00% <ø> (ø)
src/awkward/_v2/operations/convert/ak_to_cupy.py	8.19% <3.44%> (-66.81%)	⬇️
src/awkward/_v2/operations/describe/ak_backend.py	9.52% <9.52%> (ø)
src/awkward/_v2/contents/unmaskedarray.py	54.95% <25.00%> (-1.12%)	⬇️
src/awkward/_v2/contents/indexedarray.py	58.62% <37.14%> (-2.03%)	⬇️
...c/awkward/_v2/operations/describe/ak_to_backend.py	37.50% <37.50%> (ø)
... and 75 more

[jpivarski]

Just one request to loosen the allowed inputs for dtype, then (with a test), you can merge it.

[jpivarski]

We talked about three changes in Slack,

• use fill_value = nplike.array([fill_value], dtype=dtype)[0] so that dates get the right granularity
• dtype == np.dtype(np.bool_) instead of dtype is bool
• fill_value.view(np.uint8) in the boolean case (or should it be np.int8? maybe it doesn't matter) so that fill_value always has a NumPy type and not a Python type.

When those are done, you can squash and merge!