code: def test_mul(self):
      self.assertRaises(TypeError, lambda: self.psser * "x")
      self.assert_eq(self.pser * 1, self.psser * 1)
  
      with option_context("compute.ops_on_diff_frames", True):
          for pser, psser in self.pser_psser_pairs:
              if psser.dtype in [np.int32, np.int64]:
                  self.assert_eq(
                      ps.Series(["x", "yy", "zzz", None]).astype(
                          "string"
                      ),
                      (self.psser * psser).sort_index(),
                  )
              else:
                  self.assertRaises(
                      TypeError, lambda: self.psser * psser
                  )
  
imports: import unittest
  import numpy
  import pandas
  from pandas.api.types import CategoricalDtype
  from pyspark import pandas
  from pyspark.pandas.config import option_context
  from pyspark.testing.pandasutils import PandasOnSparkTestCase
  from pyspark.pandas.tests.data_type_ops.testing_utils import OpsTestBase
  from pyspark.pandas.typedef.typehints import extension_object_dtypes_available
label_desc: Use image node_id 6 for calling the StringExtensionOpsTest obj's underlying member method code with example usage: obj.test_mul() without return types