Revert unintended changes in datetimes.py and test_asfreq.py

Author: Aniketsy

pandas/core/indexes/datetimes.py

@@ -2,10 +2,7 @@
 
 import datetime as dt
 import operator
-from typing import (
-    TYPE_CHECKING,
-    Self,
-)
+from typing import TYPE_CHECKING
 import warnings
 
 import numpy as np
@@ -58,6 +55,7 @@
         DtypeObj,
         Frequency,
         IntervalClosedType,
+        Self,
         TimeAmbiguous,
         TimeNonexistent,
         npt,
@@ -222,7 +220,6 @@ class DatetimeIndex(DatetimeTimedeltaMixin):
     to_pydatetime
     to_series
     to_frame
-    to_julian_date
     month_name
     day_name
     mean
@@ -629,13 +626,7 @@ def get_loc(self, key):
     def _maybe_cast_slice_bound(self, label, side: str):
         # GH#42855 handle date here instead of get_slice_bound
         if isinstance(label, dt.date) and not isinstance(label, dt.datetime):
-            warnings.warn(
-                "Indexing/slicing with datetime.date is deprecated and will be removed "
-                "in a future version of pandas. Please convert to pd.Timestamp or "
-                "datetime64[ns] before indexing.",
-                FutureWarning,
-                stacklevel=2,
-            )
+            # Pandas supports slicing with dates, treated as datetimes at midnight.
             # https://github.com/pandas-dev/pandas/issues/31501
             label = Timestamp(label).to_pydatetime()
 

pandas/tests/frame/methods/test_asfreq.py

@@ -190,7 +190,7 @@ def test_asfreq_with_date_object_index(self, frame_or_series):
         ts = frame_or_series(np.random.default_rng(2).standard_normal(20), index=rng)
 
         ts2 = ts.copy()
-        ts2.index = to_datetime([x.date() for x in ts2.index])
+        ts2.index = [x.date() for x in ts2.index]
 
         result = ts2.asfreq("4h", method="ffill")
         expected = ts.asfreq("4h", method="ffill")