code: def intergral_extension_psers(self):
      return [
          pd.Series([1, 2, 3, None], dtype=dtype)
          for dtype in self.integral_extension_dtypes
      ]
  
imports: import unittest
  import pandas
  import numpy
  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_dtypes_available, extension_float_dtypes_available, extension_object_dtypes_available
  from pyspark.sql.types import DecimalType, IntegralType
label_desc: Use image node_id 1 for calling the IntegralExtensionOpsTest obj's underlying member method code with example usage: obj.intergral_extension_psers() and returns: unknown