dpnp.bitwise_and

dpnp.bitwise_and(x1, x2, /, out=None, *, order='K', where=True, dtype=None, subok=True, **kwargs)[source]

Compute the bit-wise AND of two arrays element-wise.

For full documentation refer to numpy.bitwise_and.

Returns:: out – An array containing the element-wise results.
Return type:: dpnp.ndarray

Limitations

Parameters x1 and x2 are supported as either scalar, dpnp.ndarray or dpctl.tensor.usm_ndarray, but both x1 and x2 can not be scalars at the same time. Parameters where, dtype and subok are supported with their default values. Keyword argument kwargs is currently unsupported. Otherwise the function will be executed sequentially on CPU. Data type of input arrays x1 and x2 has to be an integer or boolean data type.

See also

dpnp.logical_and: Compute the truth value of x1 AND x2 element-wise.
dpnp.bitwise_or: Compute the bit-wise OR of two arrays element-wise.
dpnp.bitwise_xor: Compute the bit-wise XOR of two arrays element-wise.

Examples

>>> import dpnp as np
>>> x1 = np.array([2, 5, 255])
>>> x2 = np.array([3,14,16])
>>> np.bitwise_and(x1, x2)
[2, 4, 16]

>>> a = np.array([True, True])
>>> b = np.array([False, True])
>>> np.bitwise_and(a, b)
array([False,  True])

The & operator can be used as a shorthand for bitwise_and on dpnp.ndarray.

>>> x1 & x2
array([ 2,  4, 16])