code: def test_item(self):
      pidx = pd.Index([10])
      psidx = ps.from_pandas(pidx)
  
      self.assert_eq(pidx.item(), psidx.item())
  
      # with timestamp
      pidx = pd.Index([datetime(1990, 3, 9)])
      psidx = ps.from_pandas(pidx)
  
      self.assert_eq(pidx.item(), psidx.item())
  
      # MultiIndex
      pmidx = pd.MultiIndex.from_tuples([("a", "x")])
      psmidx = ps.from_pandas(pmidx)
  
      self.assert_eq(pmidx.item(), psmidx.item())
  
      # MultiIndex with timestamp
      pmidx = pd.MultiIndex.from_tuples(
          [(datetime(1990, 3, 9), datetime(2019, 8, 15))]
      )
      psmidx = ps.from_pandas(pmidx)
  
      self.assert_eq(pidx.item(), psidx.item())
  
      err_msg = "can only convert an array of size 1 to a Python scalar"
      with self.assertRaisesRegex(ValueError, err_msg):
          ps.Index([10, 20]).item()
      with self.assertRaisesRegex(ValueError, err_msg):
          ps.MultiIndex.from_tuples([("a", "x"), ("b", "y")]).item()
  
imports: import unittest
  from datetime import datetime
  import numpy
  import pandas
  import pyspark.pandas
  from pyspark.pandas.exceptions import PandasNotImplementedError
  from pyspark.testing.pandasutils import PandasOnSparkTestCase, TestUtils, SPARK_CONF_ARROW_ENABLED
label_desc: Use image node_id 6 for calling the IndexBasicMixin obj's underlying member method code with example usage: obj.test_item() without return types