API: Remove implicit matching of datetime.date with DatetimeIndex/Timestamp in indexing and merging tests

Author: Aniketsy

pandas/tests/frame/methods/test_asfreq.py

@@ -192,9 +192,10 @@ def test_asfreq_with_date_object_index(self, frame_or_series):
         ts2 = ts.copy()
         ts2.index = [x.date() for x in ts2.index]
 
-        result = ts2.asfreq("4h", method="ffill")
-        expected = ts.asfreq("4h", method="ffill")
-        tm.assert_equal(result, expected)
+        with pytest.raises(
+            TypeError, match="Cannot compare Timestamp with datetime.date"
+        ):
+            ts2.asfreq("4h", method="ffill")
 
     def test_asfreq_with_unsorted_index(self, frame_or_series):
         # GH#39805

pandas/tests/indexes/datetimes/test_indexing.py

@@ -516,9 +516,10 @@ class TestGetIndexer:
     def test_get_indexer_date_objs(self):
         rng = date_range("1/1/2000", periods=20)
 
-        result = rng.get_indexer(rng.map(lambda x: x.date()))
-        expected = rng.get_indexer(rng)
-        tm.assert_numpy_array_equal(result, expected)
+        with pytest.raises(
+            TypeError, match="Cannot compare Timestamp with datetime.date"
+        ):
+            rng.get_indexer(rng.map(lambda x: x.date()))
 
     def test_get_indexer(self):
         idx = date_range("2000-01-01", periods=3)

pandas/tests/reshape/merge/test_merge.py

@@ -2132,17 +2132,17 @@ def test_dtype_on_categorical_dates(self):
 
         expected_outer = DataFrame(
             [
-                [pd.Timestamp("2001-01-01").date(), 1.1, 1.3],
-                [pd.Timestamp("2001-01-02").date(), 1.3, np.nan],
-                [pd.Timestamp("2001-01-03").date(), np.nan, 1.4],
+                [pd.Timestamp("2001-01-01"), 1.1, 1.3],
+                [pd.Timestamp("2001-01-02"), 1.3, np.nan],
+                [pd.Timestamp("2001-01-03"), np.nan, 1.4],
             ],
             columns=["date", "num2", "num4"],
         )
         result_outer = merge(df, df2, how="outer", on=["date"])
         tm.assert_frame_equal(result_outer, expected_outer)
 
         expected_inner = DataFrame(
-            [[pd.Timestamp("2001-01-01").date(), 1.1, 1.3]],
+            [[pd.Timestamp("2001-01-01"), 1.1, 1.3]],
             columns=["date", "num2", "num4"],
         )
         result_inner = merge(df, df2, how="inner", on=["date"])