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CI: fix mypy error #37913

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CI: fix mypy error #37913

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19 changes: 7 additions & 12 deletions pandas/core/indexes/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@
Any,
Callable,
FrozenSet,
Generic,
Hashable,
List,
NewType,
Expand All @@ -27,7 +28,7 @@
from pandas._libs.lib import is_datetime_array, no_default
from pandas._libs.tslibs import IncompatibleFrequency, OutOfBoundsDatetime, Timestamp
from pandas._libs.tslibs.timezones import tz_compare
from pandas._typing import AnyArrayLike, Dtype, DtypeObj, Label, Shape, final
from pandas._typing import AnyArrayLike, ArrayLike, Dtype, DtypeObj, Label, Shape, final
from pandas.compat.numpy import function as nv
from pandas.errors import DuplicateLabelError, InvalidIndexError
from pandas.util._decorators import Appender, cache_readonly, doc
Expand Down Expand Up @@ -147,7 +148,7 @@ def _new_Index(cls, d):
_IndexT = TypeVar("_IndexT", bound="Index")


class Index(IndexOpsMixin, PandasObject):
class Index(IndexOpsMixin, PandasObject, Generic[ArrayLike]):
"""
Immutable sequence used for indexing and alignment. The basic object
storing axis labels for all pandas objects.
Expand Down Expand Up @@ -219,7 +220,7 @@ def _outer_indexer(self, left, right):
return libjoin.outer_join_indexer(left, right)

_typ = "index"
_data: Union[ExtensionArray, np.ndarray]
_data: ArrayLike
_id: Optional[_Identity] = None
_name: Label = None
# MultiIndex.levels previously allowed setting the index name. We
Expand Down Expand Up @@ -3222,14 +3223,8 @@ def _get_nearest_indexer(self, target: "Index", limit, tolerance) -> np.ndarray:
right_indexer = self.get_indexer(target, "backfill", limit=limit)

target_values = target._values
# error: Unsupported left operand type for - ("ExtensionArray")
left_distances = np.abs(
self._values[left_indexer] - target_values # type: ignore[operator]
)
# error: Unsupported left operand type for - ("ExtensionArray")
right_distances = np.abs(
self._values[right_indexer] - target_values # type: ignore[operator]
)
left_distances = np.abs(self._values[left_indexer] - target_values)
right_distances = np.abs(self._values[right_indexer] - target_values)

op = operator.lt if self.is_monotonic_increasing else operator.le
indexer = np.where(
Expand Down Expand Up @@ -4022,7 +4017,7 @@ def array(self) -> ExtensionArray:
return array

@property
def _values(self) -> Union[ExtensionArray, np.ndarray]:
def _values(self) -> ArrayLike:
"""
The best array representation.

Expand Down