Fix black issue and the test error

Author: makbigc

pandas/core/arrays/categorical.py

@@ -2216,9 +2216,12 @@ def min(self, skipna=None, **kwargs):
             if skipna:
                 pointer = self._codes[good].min(**kwargs)
             else:
-                msg = ("The default value of skipna will be changed to "
-                       "True in the future version.")
-                warn(msg, FutureWarning, stacklevel=2)
+                if skipna is None:
+                    msg = (
+                        "The default value of skipna will be changed to "
+                        "True in the future version."
+                    )
+                    warn(msg, FutureWarning, stacklevel=2)
                 return np.nan
         else:
             pointer = self._codes.min(**kwargs)
@@ -2246,9 +2249,12 @@ def max(self, skipna=None, **kwargs):
             if skipna:
                 pointer = self._codes[good].max(**kwargs)
             else:
-                msg = ("The default value of skipna will be changed to "
-                       "True in the future version.")
-                warn(msg, FutureWarning, stacklevel=2)
+                if skipna is None:
+                    msg = (
+                        "The default value of skipna will be changed to "
+                        "True in the future version."
+                    )
+                    warn(msg, FutureWarning, stacklevel=2)
                 return np.nan
         else:
             pointer = self._codes.max(**kwargs)

pandas/tests/arrays/categorical/test_analytics.py

@@ -70,8 +70,9 @@ def test_deprecate_numeric_only_min_max(self, method):
         cat = Categorical(
             [np.nan, 1, 2, np.nan], categories=[5, 4, 3, 2, 1], ordered=True
         )
-        with tm.assert_produces_warning(expected_warning=FutureWarning,
-                                        check_stacklevel=False):
+        with tm.assert_produces_warning(
+            expected_warning=FutureWarning, check_stacklevel=False
+        ):
             getattr(cat, method)(numeric_only=True)
 
     @pytest.mark.parametrize(