Use bool instead of object

pandas/core/arrays/string_arrow.py

@@ -545,7 +545,7 @@ def _str_find(self, sub: str, start: int = 0, end: int | None = None):
 
     def _cmp_method(self, other, op):
         result = super()._cmp_method(other, op)
-        return result.to_numpy(na_value=False)
+        return result.to_numpy(na_value=False).astype(np.bool_)
 
     def value_counts(self, dropna: bool = True):
         from pandas import Series

pandas/tests/arrays/string_/test_string.py

@@ -206,7 +206,11 @@ def test_comparison_methods_scalar(comparison_op, dtype):
     result = getattr(a, op_name)(other)
     if dtype.storage == "pyarrow_numpy":
         expected = np.array([getattr(item, op_name)(other) for item in a], dtype=object)
-        expected = pd.array(expected, dtype="boolean").to_numpy(na_value=False)
+        expected = (
+            pd.array(expected, dtype="boolean")
+            .to_numpy(na_value=False)
+            .astype(np.bool_)
+        )
         tm.assert_numpy_array_equal(result, expected)
     else:
         expected_dtype = "boolean[pyarrow]" if dtype.storage == "pyarrow" else "boolean"
@@ -221,7 +225,7 @@ def test_comparison_methods_scalar_pd_na(comparison_op, dtype):
     result = getattr(a, op_name)(pd.NA)
 
     if dtype.storage == "pyarrow_numpy":
-        expected = np.array([False, False, False], dtype=object)
+        expected = np.array([False, False, False])
         tm.assert_numpy_array_equal(result, expected)
     else:
         expected_dtype = "boolean[pyarrow]" if dtype.storage == "pyarrow" else "boolean"
@@ -249,7 +253,7 @@ def test_comparison_methods_scalar_not_string(comparison_op, dtype):
             "__eq__": [False, False, False],
             "__ne__": [True, False, True],
         }[op_name]
-        expected = np.array(expected_data, dtype=object)
+        expected = np.array(expected_data)
         tm.assert_numpy_array_equal(result, expected)
     else:
         expected_data = {"__eq__": [False, None, False], "__ne__": [True, None, True]}[
@@ -267,12 +271,12 @@ def test_comparison_methods_array(comparison_op, dtype):
     other = [None, None, "c"]
     result = getattr(a, op_name)(other)
     if dtype.storage == "pyarrow_numpy":
-        expected = np.array([False, False, False], dtype=object)
+        expected = np.array([False, False, False])
         expected[-1] = getattr(other[-1], op_name)(a[-1])
         tm.assert_numpy_array_equal(result, expected)
 
         result = getattr(a, op_name)(pd.NA)
-        expected = np.array([False, False, False], dtype=object)
+        expected = np.array([False, False, False])
         tm.assert_numpy_array_equal(result, expected)
 
     else: