public static ndarray setdiff1d(ndarray ar1, ndarray ar2, bool assume_unique = false)
{
/*
* Find the set difference of two arrays.
*
* Return the sorted, unique values in `ar1` that are not in `ar2`.
*
* Parameters
* ----------
* ar1 : array_like
* Input array.
* ar2 : array_like
* Input comparison array.
* assume_unique : bool
* If True, the input arrays are both assumed to be unique, which
* can speed up the calculation. Default is False.
*
* Returns
* -------
* setdiff1d : ndarray
* Sorted 1D array of values in `ar1` that are not in `ar2`.
*
* See Also
* --------
* numpy.lib.arraysetops : Module with a number of other functions for
* performing set operations on arrays.
*
* Examples
* --------
* >>> a = np.array([1, 2, 3, 2, 4, 1])
* >>> b = np.array([3, 4, 5, 6])
* >>> np.setdiff1d(a, b)
* array([1, 2])
*/
if (assume_unique)
{
ar1 = ar1.ravel();
}
else
{
ar1 = unique(ar1).data;
ar2 = unique(ar2).data;
}
return(ar1.A(in1d(ar1, ar2, assume_unique: true, invert: true)));
}
