numpy.lib.arraysetops
unique(ar, return_index: Literal[bool] = False, return_inverse: Literal[bool] = False, return_counts: Literal[bool] = False, axis = None, equal_nan: bool = True)
union1d(ar1, ar2)
setxor1d(ar1, ar2, assume_unique: bool = False)
setdiff1d(ar1, ar2, assume_unique: bool = False)
intersect1d(ar1, ar2, assume_unique: bool = False, return_indices: Literal[bool] = False)
isin(element, test_elements, assume_unique: bool = False, invert: bool = False, kind: Optional[str] = None)
in1d(ar1, ar2, assume_unique: bool = False, invert: bool = False, kind: Optional[str] = None)