[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

pandas/core/computation/expressions.py

@@ -257,7 +257,11 @@ def where(cond, left_op, right_op, use_numexpr: bool = True):
         Whether to try to use numexpr.
     """
     assert _where is not None
-    return _where(cond, left_op, right_op) if use_numexpr else _where_standard(cond, left_op, right_op)
+    return (
+        _where(cond, left_op, right_op)
+        if use_numexpr
+        else _where_standard(cond, left_op, right_op)
+    )
 
 
 def set_test_mode(v: bool = True) -> None:

pandas/core/computation/pytables.py

@@ -274,7 +274,9 @@ def stringify(value):
             # string quoting
             return TermValue(conv_val, stringify(conv_val), "string")
         else:
-            raise TypeError(f"Cannot compare {conv_val} of type {type(conv_val)} to {kind} column")
+            raise TypeError(
+                f"Cannot compare {conv_val} of type {type(conv_val)} to {kind} column"
+            )
 
     def convert_values(self) -> None:
         pass

pandas/core/dtypes/dtypes.py

@@ -2277,9 +2277,8 @@ def numpy_dtype(self) -> np.dtype:
         """Return an instance of the related numpy dtype."""
         # For string-like arrow dtypes, pa.string().to_pandas_dtype() = object
         # so we handle them explicitly.
-        if (
-            pa.types.is_string(self.pyarrow_dtype)
-            or pa.types.is_large_string(self.pyarrow_dtype)
+        if pa.types.is_string(self.pyarrow_dtype) or pa.types.is_large_string(
+            self.pyarrow_dtype
         ):
             return np.dtype(str)
 

pandas/tests/dtypes/test_dtypes.py

@@ -1103,16 +1103,16 @@ def test_update_dtype_errors(self, bad_dtype):
         with pytest.raises(ValueError, match=msg):
             dtype.update_dtype(bad_dtype)
 
+
 class TestArrowDtype:
     @pytest.mark.parametrize(
-        "tz",
-        ["UTC", "America/New_York", "Europe/London", "Asia/Tokyo"]
+        "tz", ["UTC", "America/New_York", "Europe/London", "Asia/Tokyo"]
     )
     def test_pyarrow_timestamp_tz_preserved(self, tz):
         pytest.importorskip("pyarrow")
         s = Series(
             pd.to_datetime(range(5), unit="h", utc=True).tz_convert(tz),
-            dtype=f"timestamp[ns, tz={tz}][pyarrow]"
+            dtype=f"timestamp[ns, tz={tz}][pyarrow]",
         )
 
         result = s.convert_dtypes(dtype_backend="pyarrow")