Return (x1 == x2) element-wise.
LAX-backend implementation of
equal(). Original docstring below.
equal(x1, x2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])
x2 (x1,) – Input arrays. If
x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).
out – Output array, element-wise comparison of x1 and x2. Typically of type bool, unless
dtype=objectis passed. This is a scalar if both x1 and x2 are scalars.
- Return type
ndarray or scalar
>>> np.equal([0, 1, 3], np.arange(3)) array([ True, True, False])
What is compared are values, not types. So an int (1) and an array of length one can evaluate as True:
>>> np.equal(1, np.ones(1)) array([ True])