jax.numpy.setxor1d#
- jax.numpy.setxor1d(ar1, ar2, assume_unique=False)[source]#
Find the set exclusive-or of two arrays.
LAX-backend implementation of
numpy.setxor1d()
.In the JAX version, the input arrays are explicitly flattened regardless of assume_unique value.
Original docstring below.
Return the sorted, unique values that are in only one (not both) of the input arrays.
- Parameters:
ar1 (array_like) – Input arrays.
ar2 (array_like) – Input arrays.
assume_unique (bool) – If True, the input arrays are both assumed to be unique, which can speed up the calculation. Default is False.
- Returns:
setxor1d – Sorted 1D array of unique values that are in only one of the input arrays.
- Return type:
ndarray