jax.numpy.bitwise_and

jax.numpy.bitwise_and(x1, x2, /)

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

LAX-backend implementation of numpy.bitwise_and().

Original docstring below.

Computes the bit-wise AND of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator &.

Parameters:

• x1 (array_like) – 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).

• x2 (array_like) – 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