TST: Regression test added for Timedelta

pandas/tests/dtypes/test_dtypes.py

@@ -1107,3 +1107,15 @@ def test_compare_complex_dtypes():
 
     with pytest.raises(TypeError, match=msg):
         df.lt(df.astype(object))
+
+
+def test_categorical_of_booleans_is_boolean():
+    # https://github.com/pandas-dev/pandas/issues/46313
+    df = pd.DataFrame(
+        {"int_cat": [1, 2, 3], "bool_cat": [True, False, False]}, dtype="category"
+    )
+    value = df["bool_cat"].cat.categories.dtype
+    expected = np.dtype(np.bool_)
+    not_expected = np.dtype(np.object_)
+    assert value is expected
+    assert value is not not_expected

pandas/tests/frame/test_constructors.py

@@ -89,6 +89,21 @@ def test_constructor_from_2d_datetimearray(self, using_array_manager):
             # GH#44724 big performance hit if we de-consolidate
             assert len(df._mgr.blocks) == 1
 
+    def test_no_overflow_of_freq_and_time_in_dataframe(self):
+        # GH 35665
+        # https://github.com/pandas-dev/pandas/issues/35665
+        df = DataFrame(
+            {
+                "string_one": ["2132131SSS"],
+                "time": [Timedelta("0 days 00:00:00.990000")],
+            }
+        )
+        try:
+            for _, row in df.iterrows():
+                row
+        except OverflowError:
+            assert False, "Regression, see GH 35665"
+
     def test_constructor_dict_with_tzaware_scalar(self):
         # GH#42505
         dt = Timestamp("2019-11-03 01:00:00-0700").tz_convert("America/Los_Angeles")