dpctl.tensor.reshape() accepts reshape of 0-sized array into shape with zero

[antonwolfy]

An example below raises ValueError exception in NumPy indicating boundary issue, but there is no exception in dpctl and RuntimeWarning regarding divide by zero is issued:

import numpy,  dpctl.tensor as dpt

a = numpy.zeros((0,))
a.reshape((-1, 0))
Out:
...
ValueError: cannot reshape array of size 0 into shape (0)

a = dpt.zeros((0,))
dpt.reshape(a, (-1, 0))
/localdisk/work/antonvol/soft/miniconda3/envs/dpnp_py39_ext/lib/python3.9/site-packages/dpctl/tensor/_reshape.py:126: RuntimeWarning: divide by zero encountered in long_scalars
  v = X.size // (-np.prod(shape))
Out: usm_ndarray([])