`scipy._external.array_api_extra._delegation:isin`

Signature

def isin(a: Array, b: Array, /, assume_unique: bool = False, invert: bool = False, kind: str | None = None, xp: ArrayNamespace | None = None) → Array

Determine whether each element in a is present in b.

This is array_api.isin, with additional assume_unique and kind parameters.

a : array: Input elements.
b : array: The elements against which to test each element of a.
assume_unique : bool, optional: If True, the input arrays are both assumed to be unique which can speed up the calculation. Default: False.
invert : bool, optional: If True, the values in the returned array are inverted. Default: False.
kind : str | None, optional: 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 : array_namespace, optional: The standard-compatible namespace for a and b. Default: infer.

: array: An array having the same shape as that of a that is True for elements that are in b and False otherwise.