BUG: Remove special-casing for date objects in DatetimeIndex indexing (GH#62157)

Author: Aniketsy

pandas/core/indexes/base.py

@@ -39,7 +39,6 @@
     no_default,
 )
 from pandas._libs.tslibs import (
-    OutOfBoundsDatetime,
     Timestamp,
     tz_compare,
 )
@@ -6204,11 +6203,6 @@ def _maybe_downcast_for_indexing(self, other: Index) -> tuple[Index, Index]:
                 # standardize on UTC
                 return self.tz_convert("UTC"), other.tz_convert("UTC")
 
-        elif self.inferred_type == "date" and isinstance(other, ABCDatetimeIndex):
-            try:
-                return type(other)(self), other
-            except OutOfBoundsDatetime:
-                return self, other
         elif self.inferred_type == "timedelta" and isinstance(other, ABCTimedeltaIndex):
             # TODO: we dont have tests that get here
             return type(other)(self), other

pandas/core/series.py

@@ -6073,9 +6073,7 @@ def eq(
         Parameters
         ----------
         other : Series or scalar value
-            The second operand in this operation. Only `np.ndarray`, `list`, `tuple`,
-            and `Series` are considered "list-like" by pandas. All other types will
-            be treated as scalar values.
+            The second operand in this operation.
         level : int or name
             Broadcast across a level, matching Index values on the
             passed MultiIndex level.

pandas/tests/frame/indexing/test_indexing.py

@@ -1880,6 +1880,17 @@ def test_add_new_column_infer_string():
     tm.assert_frame_equal(df, expected)
 
 
+def test_datetime_indexer_consistency_pyarrow_date32():
+    # GH#62158
+    ser = Series(["2016-01-01"], dtype="date32[pyarrow]")
+    ser3 = ser.astype("datetime64[ns]")
+    dti = Index(ser3)
+    # All should be consistent
+    assert dti.get_loc(ser[0]) == 0
+    tm.assert_numpy_array_equal(dti.get_indexer(ser.values), [0])
+    tm.assert_numpy_array_equal(dti.get_indexer(ser.values.astype(object)), [0])
+
+
 class TestSetitemValidation:
     # This is adapted from pandas/tests/arrays/masked/test_indexing.py
     def _check_setitem_invalid(self, df, invalid, indexer):