TYP: Remove custom ellipsis class (#62737)

Author: rhshadrach

pandas/core/arrays/sparse/array.py

@@ -85,23 +85,17 @@
 
 from pandas.io.formats import printing
 
-# See https://github.com/python/typing/issues/684
 if TYPE_CHECKING:
     from collections.abc import (
         Callable,
         Sequence,
     )
-    from enum import Enum
+    from types import EllipsisType
     from typing import (
         Protocol,
         type_check_only,
     )
 
-    class ellipsis(Enum):
-        Ellipsis = "..."
-
-    Ellipsis = ellipsis.Ellipsis
-
     from scipy.sparse import (
         csc_array,
         csc_matrix,
@@ -134,10 +128,6 @@ def tocsc(self, /) -> csc_array | csc_matrix: ...
     from pandas import Series
 
 
-else:
-    ellipsis = type(Ellipsis)
-
-
 # ----------------------------------------------------------------------------
 # Array
 
@@ -974,31 +964,22 @@ def __getitem__(self, key: ScalarIndexer) -> Any: ...
     @overload
     def __getitem__(
         self,
-        key: SequenceIndexer | tuple[int | ellipsis, ...],
+        key: SequenceIndexer | tuple[int | EllipsisType, ...],
     ) -> Self: ...
 
     def __getitem__(
         self,
-        key: PositionalIndexer | tuple[int | ellipsis, ...],
+        key: PositionalIndexer | tuple[int | EllipsisType, ...],
     ) -> Self | Any:
         if isinstance(key, tuple):
             key = unpack_tuple_and_ellipses(key)
-            if key is Ellipsis:
+            if key is ...:
                 raise ValueError("Cannot slice with Ellipsis")
 
         if is_integer(key):
             return self._get_val_at(key)
         elif isinstance(key, tuple):
-            # error: Invalid index type "Tuple[Union[int, ellipsis], ...]"
-            # for "ndarray[Any, Any]"; expected type
-            # "Union[SupportsIndex, _SupportsArray[dtype[Union[bool_,
-            # integer[Any]]]], _NestedSequence[_SupportsArray[dtype[
-            # Union[bool_, integer[Any]]]]], _NestedSequence[Union[
-            # bool, int]], Tuple[Union[SupportsIndex, _SupportsArray[
-            # dtype[Union[bool_, integer[Any]]]], _NestedSequence[
-            # _SupportsArray[dtype[Union[bool_, integer[Any]]]]],
-            # _NestedSequence[Union[bool, int]]], ...]]"
-            data_slice = self.to_dense()[key]  # type: ignore[index]
+            data_slice = self.to_dense()[key]
         elif isinstance(key, slice):
             # Avoid densifying when handling contiguous slices
             if key.step is None or key.step == 1: