dpt.sum returns incorrect result when dtype=dpt.bool is passed

[vtavana]

Python Array API for sum function states:

If the data type (either specified or resolved) differs from the data type of x, the input array should be cast to the specified data type before computing the sum ...

With this in mind, dpctl does not behave correct

import dpctl.tensor as dpt
a = dpt.asarray([-1, 1], dtype=dpt.int32)
dpt.sum(a)
# usm_ndarray(0)
dpt.sum(a, dtype=dpt.bool)
# usm_ndarray(False)

# However what array API is specifying is 
dpt.sum(dpt.astype(a, dpt.bool), dtype=dpt.bool)
# usm_ndarray(True)


# NumPy follows Array API
import numpy
numpy.__version__
# '2.2.0'

b = numpy.zeros(2, dtype=numpy.int32)
b.sum()
# np.int64(0)
b.sum(dtype=numpy.bool_)
# np.False_