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Missing C- and F-contagious flags #1334

Description

@antonwolfy

The code below works differently in dpctl and numpy:

import numpy, dpctl, dpctl.tensor as dpt

a = dpt.ones((2, 3))
dpt.reshape(a, (1, 6, 1)).flags
# Out:
#   C_CONTIGUOUS : False
#   F_CONTIGUOUS : False
#   WRITABLE : True

x = numpy.ones((2, 3))
numpy.reshape(x, (1, 6, 1)).flags
# Out:
#   C_CONTIGUOUS : True
#   F_CONTIGUOUS : True
#   OWNDATA : False
#   WRITEABLE : True
#   ALIGNED : True
#   WRITEBACKIFCOPY : False

and similar use case:

a = dpt.ones((2, 3), order='F')
dpt.reshape(a, (1, 6, 1), order='F').flags
# Out:
#   C_CONTIGUOUS : False
#   F_CONTIGUOUS : False
#   WRITABLE : True

x = numpy.ones((2, 3), order='F')
numpy.reshape(x, (1, 6, 1), order='F').flags
# Out:
#   C_CONTIGUOUS : True
#   F_CONTIGUOUS : True
#   OWNDATA : False
#   WRITEABLE : True
#   ALIGNED : True
#   WRITEBACKIFCOPY : False

one more example with sum:

a = dpt.ones((2, 3, 4))
dpt.sum(a, axis=(1, 2), keepdims=True).flags
# Out:
#   C_CONTIGUOUS : False
#   F_CONTIGUOUS : False
#   WRITABLE : True

x = numpy.ones((2, 3, 4))
numpy.sum(a, axis=(1, 2), keepdims=True).flags
# Out:
#   C_CONTIGUOUS : True
#   F_CONTIGUOUS : True
#   OWNDATA : True
#   WRITEABLE : True
#   ALIGNED : True
#   WRITEBACKIFCOPY : False

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