TYP: fix ignores

pandas/core/array_algos/replace.py

@@ -152,8 +152,6 @@ def re_replacer(s):
     f = np.vectorize(re_replacer, otypes=[values.dtype])
 
     if mask is None:
-        # error: Invalid index type "slice" for "ExtensionArray"; expected type
-        # "Union[int, ndarray]"
-        values[:] = f(values)  # type: ignore[index]
+        values[:] = f(values)
     else:
         values[mask] = f(values[mask])

pandas/core/arrays/base.py

@@ -326,7 +326,7 @@ def __getitem__(
         """
         raise AbstractMethodError(self)
 
-    def __setitem__(self, key: Union[int, np.ndarray], value: Any) -> None:
+    def __setitem__(self, key: Union[int, slice, np.ndarray], value: Any) -> None:
         """
         Set one or more values inplace.
 

pandas/core/arrays/string_arrow.py

@@ -9,6 +9,7 @@
     Tuple,
     Type,
     Union,
+    cast,
 )
 
 import numpy as np
@@ -476,7 +477,7 @@ def _cmp_method(self, other, op):
         # TODO(ARROW-9429): Add a .to_numpy() to ChunkedArray
         return BooleanArray._from_sequence(result.to_pandas().values)
 
-    def __setitem__(self, key: Union[int, np.ndarray], value: Any) -> None:
+    def __setitem__(self, key: Union[int, slice, np.ndarray], value: Any) -> None:
         """Set one or more values inplace.
 
         Parameters
@@ -500,6 +501,8 @@ def __setitem__(self, key: Union[int, np.ndarray], value: Any) -> None:
         key = check_array_indexer(self, key)
 
         if is_integer(key):
+            key = cast(int, key)
+
             if not is_scalar(value):
                 raise ValueError("Must pass scalars with scalar indexer")
             elif isna(value):
@@ -509,8 +512,7 @@ def __setitem__(self, key: Union[int, np.ndarray], value: Any) -> None:
 
             # Slice data and insert in-between
             new_data = [
-                # error: Slice index must be an integer or None
-                *self._data[0:key].chunks,  # type: ignore[misc]
+                *self._data[0:key].chunks,
                 pa.array([value], type=pa.string()),
                 *self._data[(key + 1) :].chunks,
             ]
@@ -521,11 +523,11 @@ def __setitem__(self, key: Union[int, np.ndarray], value: Any) -> None:
             #       This is probably extremely slow.
 
             # Convert all possible input key types to an array of integers
-            if is_bool_dtype(key):
+            if isinstance(key, slice):
+                key_array = np.array(range(len(self))[key])
+            elif is_bool_dtype(key):
                 # TODO(ARROW-9430): Directly support setitem(booleans)
                 key_array = np.argwhere(key).flatten()
-            elif isinstance(key, slice):
-                key_array = np.array(range(len(self))[key])
             else:
                 # TODO(ARROW-9431): Directly support setitem(integers)
                 key_array = np.asanyarray(key)