Fix dpt.repeat() regression for 1D repeats array

[vlad-perevezentsev]

After #2223 dpt.repeat() started raising an error when repeats is as 1D usm_ndarray

import dpctl.tensor as dpt

a = dpt.arange(8)
dpt.repeat(a, ind)

# repeats = int(repeats)
# TypeError: only 0-dimensional arrays can be converted to Python scalars

Previously this worked because int(repeats) was implicitly allowed for 1D usm_ndarrays

This PR updates dpt.repeat() to explicitly extract the single element from size-1 1D usm_ndarray repeats before converting it to a Python scalar and extends tests to cover both 0D and 1D repeats cases

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[github-actions]

View rendered docs @ https://intelpython.github.io/dpctl/pulls/2229/index.html

[github-actions]

Array API standard conformance tests for dpctl=0.22.0dev0=py310h93fe807_117 ran successfully.
Passed: 1116
Failed: 42
Skipped: 82

[coveralls]

coverage: 86.248% (+0.003%) from 86.245%
when pulling cba240e on fix_repeat_scalar_conv
into 0797836 on master.

[ndgrigorian]

LGTM!