fix issue with tests on DatetimeIndex

partial/pandas/core/indexes/datetimes.pyi

@@ -0,0 +1,41 @@
+import numpy as np
+from datetime import tzinfo as tzinfo
+from pandas.core.indexes.datetimelike import DatetimeTimedeltaMixin as DatetimeTimedeltaMixin, DatetimelikeDelegateMixin as DatetimelikeDelegateMixin
+from typing import Optional
+
+class DatetimeDelegateMixin(DatetimelikeDelegateMixin): ...
+
+class DatetimeIndex(DatetimeTimedeltaMixin, DatetimeDelegateMixin):
+    tz: Optional[tzinfo]
+    def __init__(self, data = ..., freq = ..., tz = ..., normalize: bool = ..., closed = ..., ambiguous: str = ..., dayfirst: bool = ..., yearfirst: bool = ..., dtype = ..., copy: bool = ..., name = ...): ...
+    def __array__(self, dtype=...) -> np.ndarray: ...
+    def __reduce__(self): ...
+    def union_many(self, others): ...
+    def to_series(self, keep_tz = ..., index = ..., name = ...): ...
+    def snap(self, freq: str = ...): ...
+    def get_value(self, series, key): ...
+    def get_value_maybe_box(self, series, key): ...
+    def get_loc(self, key, method = ..., tolerance = ...): ...
+    def slice_indexer(self, start = ..., end = ..., step = ..., kind = ...): ...
+    def searchsorted(self, value, side: str = ..., sorter = ...): ...
+    def is_type_compatible(self, typ) -> bool: ...
+    @property
+    def inferred_type(self) -> str: ...
+    def insert(self, loc, item): ...
+    def indexer_at_time(self, time, asof: bool = ...): ...
+    def indexer_between_time(self, start_time, end_time, include_start: bool = ..., include_end: bool = ...): ...
+    def strftime(self, date_format: str = ...) -> np.ndarray: ...
+
+def date_range(start=..., end=..., periods=..., freq=..., tz=..., normalize=..., name=..., closed=..., **kwargs) -> DatetimeIndex: ...
+def bdate_range(
+    start = ...,
+    end = ...,
+    periods = ...,
+    freq: str = ...,
+    tz = ...,
+    normalize: bool = ...,
+    name = ...,
+    weekmask = ...,
+    holidays = ...,
+    closed = ...,
+) -> DatetimeIndex: ...

partial/pandas/core/indexes/numeric.pyi

@@ -0,0 +1,40 @@
+import numpy as np
+from pandas.core.indexes.base import Index as Index
+from typing import Iterable, TypeVar
+
+_T = TypeVar("_T", str, int)
+
+class NumericIndex(Index[_T]):
+    def __init__(self, data: Iterable = ..., dtype = ..., copy: bool = ..., name = ...): ...
+    @property
+    def is_all_dates(self) -> bool: ...
+    def insert(self, loc, item): ...
+
+class IntegerIndex(NumericIndex[_T]):
+    def __contains__(self, key) -> bool: ...
+
+class Int64Index(IntegerIndex[np.int64]):
+    __doc__ = ...
+    @property
+    def inferred_type(self) -> str: ...
+    @property
+    def asi8(self) -> np.ndarray: ...
+
+class UInt64Index(IntegerIndex[np.uint64]):
+    __doc__ = ...
+    @property
+    def inferred_type(self) -> str: ...
+    @property
+    def asi8(self) -> np.ndarray: ...
+
+class Float64Index(NumericIndex[np.float64]):
+    __doc__ = ...
+    @property
+    def inferred_type(self) -> str: ...
+    def astype(self, dtype, copy: bool = ...): ...
+    def get_value(self, series, key): ...
+    def equals(self, other) -> bool: ...
+    def __contains__(self, other) -> bool: ...
+    def get_loc(self, key, method = ..., tolerance = ...): ...
+    def is_unique(self) -> bool: ...
+    def isin(self, values, level = ...): ...

partial/pandas/core/series.pyi

@@ -1389,7 +1389,7 @@ class Series(IndexOpsMixin, NDFrame, Generic[S1]):
         level: Optional[Level] = ...,
         fill_value: Optional[float] = ...,
         axis: Optional[SeriesAxisType] = ...,
-    ) -> Series[S1]:: ...
+    ) -> Series[S1]: ...
     def sum(
         self,
         axis: Optional[SeriesAxisType] = ...,