`scipy._lib.array_api_extra._delegation:isin`

source: /scipy/_lib/array_api_extra/_delegation.py :972

Signature

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

Summary

Determine whether each element in a is present in b.

Extended Summary

Return a boolean array of the same shape as a that is True for elements that are in b and False otherwise.

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.

Returns

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

Aliases

scipy.differentiate.xpx.isin