isin¶
- array_api_extra.isin(a, b, /, *, assume_unique=False, invert=False, kind=None, xp=None)¶
Determine whether each element in a is present in b.
This is
array_api.isin(), with additional assume_unique and kind parameters.- Parameters:
a (
object) – Input elements.b (
object) – The elements against which to test each element of a.assume_unique (
bool) – If True, the input arrays are both assumed to be unique which can speed up the calculation. Default: False.invert (
bool) – If True, the values in the returned array are inverted. Default: False.kind (
str|None) – The algorithm or method to use. This will not affect the final result, but will affect the speed and memory use. For NumPy the options are {None, “sort”, “table”}. For Jax the mapped parameter is instead method and the options are {“compare_all”, “binary_search”, “sort”, and “auto” (default)} For CuPy, Dask, Torch and the default case this parameter is not present and thus ignored. Default: None.xp (
ModuleType|None) – The standard-compatible namespace for a and b. Default: infer.
- Returns:
An array having the same shape as that of a that is True for elements that are in b and False otherwise.
- Return type: