TYP: algos.isin (#53479)

Author: lukemanley

pandas/core/algorithms.py

@@ -83,6 +83,7 @@
 
 if TYPE_CHECKING:
     from pandas._typing import (
+        ListLike,
         NumpySorter,
         NumpyValueArrayLike,
     )
@@ -438,14 +439,14 @@ def unique_with_mask(values, mask: npt.NDArray[np.bool_] | None = None):
 unique1d = unique
 
 
-def isin(comps: AnyArrayLike, values: AnyArrayLike) -> npt.NDArray[np.bool_]:
+def isin(comps: ListLike, values: ListLike) -> npt.NDArray[np.bool_]:
     """
     Compute the isin boolean array.
 
     Parameters
     ----------
-    comps : array-like
-    values : array-like
+    comps : list-like
+    values : list-like
 
     Returns
     -------

pandas/core/tools/datetimes.py

@@ -1252,9 +1252,7 @@ def calc_with_mask(carg, mask):
 
     # string with NaN-like
     try:
-        # error: Argument 2 to "isin" has incompatible type "List[Any]"; expected
-        # "Union[Union[ExtensionArray, ndarray], Index, Series]"
-        mask = ~algorithms.isin(arg, list(nat_strings))  # type: ignore[arg-type]
+        mask = ~algorithms.isin(arg, list(nat_strings))
         return calc_with_mask(arg, mask)
     except (ValueError, OverflowError, TypeError):
         pass

pandas/io/parsers/base_parser.py

@@ -558,11 +558,7 @@ def _convert_to_ndarrays(
                 try:
                     values = lib.map_infer(values, conv_f)
                 except ValueError:
-                    # error: Argument 2 to "isin" has incompatible type "List[Any]";
-                    # expected "Union[Union[ExtensionArray, ndarray], Index, Series]"
-                    mask = algorithms.isin(
-                        values, list(na_values)  # type: ignore[arg-type]
-                    ).view(np.uint8)
+                    mask = algorithms.isin(values, list(na_values)).view(np.uint8)
                     values = lib.map_infer_mask(values, conv_f, mask)
 
                 cvals, na_count = self._infer_types(