Deprecated tests

Author: arthurlw

pandas/core/indexes/base.py

@@ -39,7 +39,6 @@
     no_default,
 )
 from pandas._libs.tslibs import (
-    OutOfBoundsDatetime,
     Timestamp,
     tz_compare,
 )
@@ -6228,6 +6227,7 @@ def _maybe_downcast_for_indexing(self, other: Index) -> tuple[Index, Index]:
         if not is_object_dtype(self.dtype) and is_object_dtype(other.dtype):
             # Reverse op so we dont need to re-implement on the subclasses
             other, self = other._maybe_downcast_for_indexing(self)
+
         return self, other
 
     @final

pandas/tests/frame/methods/test_asfreq.py

@@ -185,17 +185,6 @@ def test_asfreq_fillvalue(self):
         actual_series = ts.asfreq(freq="1s", fill_value=9.0)
         tm.assert_series_equal(expected_series, actual_series)
 
-    def test_asfreq_with_date_object_index(self, frame_or_series):
-        rng = date_range("1/1/2000", periods=20)
-        ts = frame_or_series(np.random.default_rng(2).standard_normal(20), index=rng)
-
-        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)
-
     def test_asfreq_with_unsorted_index(self, frame_or_series):
         # GH#39805
         # Test that rows are not dropped when the datetime index is out of order

pandas/tests/indexes/datetimes/test_indexing.py

@@ -513,13 +513,6 @@ def test_contains_nonunique(self, vals):
 
 
 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)
-
     def test_get_indexer(self):
         idx = date_range("2000-01-01", periods=3)
         exp = np.array([0, 1, 2], dtype=np.intp)
@@ -561,20 +554,6 @@ def test_get_indexer(self):
         with pytest.raises(ValueError, match="abbreviation w/o a number"):
             idx.get_indexer(idx[[0]], method="nearest", tolerance="foo")
 
-    @pytest.mark.parametrize(
-        "target",
-        [
-            [date(2020, 1, 1), Timestamp("2020-01-02")],
-            [Timestamp("2020-01-01"), date(2020, 1, 2)],
-        ],
-    )
-    def test_get_indexer_mixed_dtypes(self, target):
-        # https://github.com/pandas-dev/pandas/issues/33741
-        values = DatetimeIndex([Timestamp("2020-01-01"), Timestamp("2020-01-02")])
-        result = values.get_indexer(target)
-        expected = np.array([0, 1], dtype=np.intp)
-        tm.assert_numpy_array_equal(result, expected)
-
     @pytest.mark.parametrize(
         "target, positions",
         [

pandas/tests/series/test_arithmetic.py

@@ -757,21 +757,6 @@ def test_datetime_understood(self, unit):
         expected = Series(exp_dti)
         tm.assert_series_equal(result, expected)
 
-    def test_align_date_objects_with_datetimeindex(self):
-        rng = date_range("1/1/2000", periods=20)
-        ts = Series(np.random.default_rng(2).standard_normal(20), index=rng)
-
-        ts_slice = ts[5:]
-        ts2 = ts_slice.copy()
-        ts2.index = [x.date() for x in ts2.index]
-
-        result = ts + ts2
-        result2 = ts2 + ts
-        expected = ts + ts[5:]
-        expected.index = expected.index._with_freq(None)
-        tm.assert_series_equal(result, expected)
-        tm.assert_series_equal(result2, expected)
-
 
 class TestNamePreservation:
     @pytest.mark.parametrize("box", [list, tuple, np.array, Index, Series, pd.array])