[Numpy-discussion] Behaviour of Logical Operands "|" and "&" with Numpy.Array

[zhong.ann--- via NumPy-Discussion]

Hi, I would like to report weird behaviours of the logical operands "|" and "&" 
when interacting with Numpy.Arrays of integer and boolean elements. 
I have observed that if we put "|" or "&" between a Numpy.Array of integers and 
a Numpy.Array of booleans, "|" would increase the non-zero even integers by 1 
in the returned output, while "&" would treat the non-zero even integers as 0 
and return 0 for them. 
For example: numpy.array([-2, -1, 0, 1, 2, 3, 4]) | numpy.array([True]) would 
generate result as array([-1, -1, 1, 1, 3, 3, 5]). 
numpy.array([-2, -1, 0, 1, 2, 3, 4]) & numpy.array([True]) would generate 
result as array([0, 1, 0, 1, 0, 1, 0]) . 
According to the numpy user guide, the operands "|" and "&" are equivalent to 
logical_or() and logical_and() respectively, but in fact logical_or() and 
logical_and() return an array of boolean values when given both an array of 
integer and an array of boolean as input. 
Note that the logical operands "|" and "&" are not supported by python built-in 
array.array to work between an array of integer and an array of boolean.
Could you please advise if these logical operands should be supported to 
operate on an array of integer and an array of boolean? If they should, what 
would be the expected behaviours? Thank you.
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