code: def test_take(self):
      pser = pd.Series([100, 200, 300, 400, 500], name="Koalas")
      psser = ps.from_pandas(pser)
  
      self.assert_eq(
          psser.take([0, 2, 4]).sort_values(),
          pser.take([0, 2, 4]).sort_values(),
      )
      self.assert_eq(
          psser.take(range(0, 5, 2)).sort_values(),
          pser.take(range(0, 5, 2)).sort_values(),
      )
      self.assert_eq(
          psser.take([-4, -2, 0]).sort_values(),
          pser.take([-4, -2, 0]).sort_values(),
      )
      self.assert_eq(
          psser.take(range(-2, 1, 2)).sort_values(),
          pser.take(range(-2, 1, 2)).sort_values(),
      )
  
      # Checking the type of indices.
      self.assertRaises(TypeError, lambda: psser.take(1))
      self.assertRaises(TypeError, lambda: psser.take("1"))
      self.assertRaises(TypeError, lambda: psser.take({1, 2}))
      self.assertRaises(
          TypeError, lambda: psser.take({1: None, 2: None})
      )
  
imports: import unittest
  from collections import defaultdict
  import inspect
  from datetime import datetime, timedelta
  import numpy
  import pandas
  from pyspark.ml.linalg import SparseVector
  from pyspark import pandas
  from pyspark.testing.pandasutils import PandasOnSparkTestCase, SPARK_CONF_ARROW_ENABLED
  from pyspark.testing.sqlutils import SQLTestUtils
  from pyspark.pandas.exceptions import PandasNotImplementedError
  from pyspark.pandas.missing.series import MissingPandasLikeSeries
  from pyspark.pandas.typedef.typehints import extension_object_dtypes_available
label_desc: Use image node_id 33 for calling the SeriesTestsMixin obj's underlying member method code with example usage: obj.test_take() without return types