Fix ci error

Author: inmoonlight

pandas/tests/indexing/test_loc.py

@@ -9,7 +9,6 @@
 import pandas as pd
 from pandas import DataFrame, Series, Timestamp, date_range
 from pandas.api.types import is_scalar
-from pandas.core.dtypes.cast import maybe_cast_to_datetime
 from pandas.tests.indexing.common import Base
 from pandas.util import testing as tm
 
@@ -692,22 +691,30 @@ def test_loc_setitem_consistency_slice_column_len(self):
         tm.assert_series_equal(df[("Respondent", "Duration")], expected)
 
     @pytest.mark.parametrize(
-        "obj,dtype",
+        "dtype",
         [
-            (np.datetime64("2017-01-01 01:00:00"), "datetime64"),
-            (np.datetime64("2017-01-01 02:00:00"), "datetime64[ns]"),
-            (np.datetime64("2017-01-02 01:00:00"), "datetime64[Y]"),
-            (np.datetime64("2017-01-03 02:00:00"), "datetime64[M]"),
-            (np.datetime64("2017-01-04 02:00:00"), "datetime64[D]"),
-            (np.datetime64("2017-01-05 02:00:00"), "datetime64[h]"),
-            (np.datetime64("2017-01-06 02:10:00"), "datetime64[m]"),
-            (np.datetime64("2017-01-07 02:20:10"), "datetime64[s]"),
-            (np.datetime64("2017-01-08 02:40:20"), "datetime64[ms]"),
-            (np.datetime64("2017-01-09 02:50:30"), "datetime64[ns]"),
+            "datetime64",
+            "datetime64[ns]",
+            "datetime64[Y]",
+            "datetime64[M]",
+            "datetime64[D]",
+            "datetime64[h]",
+            "datetime64[m]",
+            "datetime64[s]",
+            "datetime64[ms]",
+            "datetime64[ns]",
         ],
     )
-    def test_maybe_cast_to_datetime(obj, dtype):
-        maybe_cast_to_datetime(obj, dtype)
+    def test_loc_assign_non_ns_datetime(self, dtype):
+        df = pd.DataFrame(
+            {
+                "timestamp": [
+                    np.datetime64("2017-01-01 01:11:20"),
+                    np.datetime64("2017-01-01 02:01:30"),
+                ]
+            }
+        )
+        df.loc[:, "day"] = df.loc[:, "timestamp"].values.astype(dtype)
 
     def test_loc_setitem_frame(self):
         df = self.frame_labels