fix the import error

Author: espoirMur

pandas/core/arrays/string_.py

@@ -28,7 +28,10 @@
     pa_version_under10p1,
 )
 from pandas.compat.numpy import function as nv
-from pandas.util._decorators import doc
+from pandas.util._decorators import (
+    doc,
+    set_module,
+)
 from pandas.util._exceptions import find_stack_level
 
 from pandas.core.dtypes.base import (
@@ -64,7 +67,7 @@
 from pandas.core.construction import extract_array
 from pandas.core.indexers import check_array_indexer
 from pandas.core.missing import isna
-from pandas.util._decorators import set_module
+
 from pandas.io.formats import printing
 
 if TYPE_CHECKING:
@@ -374,6 +377,7 @@ def __from_arrow__(
         NDArrayBacked.__init__(new_string_array, arr, self)
         return new_string_array
 
+
 @set_module("pandas")
 class BaseStringArray(ExtensionArray):
     """
@@ -534,6 +538,7 @@ def _str_map_nan_semantics(
 # error: Definition of "_concat_same_type" in base class "NDArrayBacked" is
 # incompatible with definition in base class "ExtensionArray"
 
+
 class StringArray(BaseStringArray, NumpyExtensionArray):  # type: ignore[misc]
     """
     Extension array for string data.
@@ -723,7 +728,8 @@ def __arrow_array__(self, type=None):
         values[self.isna()] = None
         return pa.array(values, type=type, from_pandas=True)
 
-    def _values_for_factorize(self) -> tuple[np.ndarray, libmissing.NAType | float]:  # type: ignore[override]
+    # type: ignore[override]
+    def _values_for_factorize(self) -> tuple[np.ndarray, libmissing.NAType | float]:
         arr = self._ndarray
 
         return arr, self.dtype.na_value
@@ -961,7 +967,6 @@ def _cmp_method(self, other, op):
     _arith_method = _cmp_method
 
 
-
 class StringArrayNumpySemantics(StringArray):
     _storage = "python"
     _na_value = np.nan