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Follow recommendation on the interaction with numpy.ndarray in binary ops (#2266)
The PR proposes to follow NEP-13 [recommendations](https://numpy.org/neps/nep-0013-ufunc-overrides.html#behavior-in-combination-with-python-s-binary-operations) on how to interact with `numpy.ndarray` in binary the operations. It will set `__array_ufunc__ = None` which means that dpnp implements Python binary operations freely and so `numpy.ufuncs` called on this argument will raise `TypeError`: ```python a = numpy.ones(10) b = dpnp.ones(10) a += b --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[9], line 1 ----> 1 a += b TypeError: operand 'dpnp_array' does not support ufuncs (__array_ufunc__=None) ``` And an elementwise operation with `numpy.ndarray` will cause an explicit exception in dpnp: ```python a + b --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[4], line 1 ----> 1 a + b File ~/code/dpnp/dpnp/dpnp_array.py:518, in dpnp_array.__radd__(self, other) 516 def __radd__(self, other): 517 """Return ``value+self``.""" --> 518 return dpnp.add(other, self) File ~/code/dpnp/dpnp/dpnp_algo/dpnp_elementwise_common.py:314, in DPNPBinaryFunc.__call__(self, x1, x2, out, where, order, dtype, subok, **kwargs) 303 def __call__( 304 self, 305 x1, (...) 312 **kwargs, 313 ): --> 314 dpnp.check_supported_arrays_type( 315 x1, x2, scalar_type=True, all_scalars=False 316 ) 317 if kwargs: 318 raise NotImplementedError( 319 f"Requested function={self.name_} with kwargs={kwargs} " 320 "isn't currently supported." 321 ) File ~/code/dpnp/dpnp/dpnp_iface.py:400, in check_supported_arrays_type(scalar_type, all_scalars, *arrays) 397 if scalar_type and dpnp.isscalar(a): 398 continue --> 400 raise TypeError( 401 f"An array must be any of supported type, but got {type(a)}" 402 ) 404 if len(arrays) > 0 and not (all_scalars or any_is_array): 405 raise TypeError( 406 "At least one input must be of supported array type, " 407 "but got all scalars." 408 ) TypeError: An array must be any of supported type, but got <class 'numpy.ndarray'> ``` Previously it works as in a way: ```python a = numpy.ones(10) b = dpnp.ones(10) a + b # Out: # array([array(2.), array(2.), array(2.), array(2.), array(2.), array(2.), # array(2.), array(2.), array(2.), array(2.)], dtype=object) ``` Note, some updates in tests from #2260 have been mapped to that PR. 13816bd
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