jax.numpy.bitwise_xor¶
-
jax.numpy.
bitwise_xor
(x1, x2)¶ Compute the bit-wise XOR of two arrays element-wise.
LAX-backend implementation of
bitwise_xor()
. Original docstring below.bitwise_xor(x1, x2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])
Computes the bit-wise XOR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator
^
.- Parameters
x2 (x1,) – Only integer and boolean types are handled. If
x1.shape != x2.shape
, they must be broadcastable to a common shape (which becomes the shape of the output).- Returns
out – Result. This is a scalar if both x1 and x2 are scalars.
- Return type
ndarray or scalar
See also
logical_xor()
,bitwise_and()
,bitwise_or()
binary_repr()
Return the binary representation of the input number as a string.
Examples
The number 13 is represented by
00001101
. Likewise, 17 is represented by00010001
. The bit-wise XOR of 13 and 17 is therefore00011100
, or 28:>>> np.bitwise_xor(13, 17) 28 >>> np.binary_repr(28) '11100'
>>> np.bitwise_xor(31, 5) 26 >>> np.bitwise_xor([31,3], 5) array([26, 6])
>>> np.bitwise_xor([31,3], [5,6]) array([26, 5]) >>> np.bitwise_xor([True, True], [False, True]) array([ True, False])