Fix passing result_dtype as string

Author: vladserkoff

pandas/tests/arrays/test_integer.py

@@ -617,13 +617,13 @@ def test_to_integer_array_float():
 
 @pytest.mark.parametrize(
     'bool_values, int_values, result_dtype',
-    [([False, True], [0, 1], Int64Dtype),
+    [([False, True], [0, 1], Int64Dtype()),
      ([False, True], [0, 1], 'Int64'),
-     ([False, True, np.nan], [0, 1, np.nan], Int64Dtype)])
+     ([False, True, np.nan], [0, 1, np.nan], Int64Dtype())])
 def test_to_integer_array_bool(bool_values, int_values, result_dtype):
-    result = integer_array(bool_values, dtype=result_dtype())
-    assert result.dtype == result_dtype()
-    expected = integer_array(int_values, dtype=result_dtype())
+    result = integer_array(bool_values, dtype=result_dtype)
+    assert result.dtype == result_dtype
+    expected = integer_array(int_values, dtype=result_dtype)
     tm.assert_extension_array_equal(result, expected)