jax.numpy.isin#
- jax.numpy.isin(element, test_elements, assume_unique=False, invert=False)[source]#
Calculates
element in test_elements, broadcasting over element only.LAX-backend implementation of
numpy.isin().In the JAX version, the assume_unique argument is not referenced.
Original docstring below.
Returns a boolean array of the same shape as element that is True where an element of element is in test_elements and False otherwise.
- Parameters:
element (array_like) – Input array.
test_elements (array_like) – The values against which to test each value of element. This argument is flattened if it is an array or array_like. See notes for behavior with non-array-like parameters.
assume_unique (bool, optional) – If True, the input arrays are both assumed to be unique, which can speed up the calculation. Default is False.
invert (bool, optional) – If True, the values in the returned array are inverted, as if calculating element not in test_elements. Default is False.
np.isin(a, b, invert=True)is equivalent to (but faster than)np.invert(np.isin(a, b)).
- Returns:
isin – Has the same shape as element. The values element[isin] are in test_elements.
- Return type:
ndarray, bool