code: def test_repeat(self):
      pser = pd.Series(
          ["a", "b", "c"], name="0", index=np.random.rand(3)
      )
      psser = ps.from_pandas(pser)
  
      self.assert_eq(
          psser.repeat(3).sort_index(), pser.repeat(3).sort_index()
      )
      self.assert_eq(
          psser.repeat(0).sort_index(), pser.repeat(0).sort_index()
      )
  
      self.assertRaises(ValueError, lambda: psser.repeat(-1))
      self.assertRaises(TypeError, lambda: psser.repeat("abc"))
  
      pdf = pd.DataFrame(
          {"a": ["a", "b", "c"], "rep": [10, 20, 30]},
          index=np.random.rand(3),
      )
      psdf = ps.from_pandas(pdf)
  
      self.assert_eq(
          psdf.a.repeat(psdf.rep).sort_index(),
          pdf.a.repeat(pdf.rep).sort_index(),
      )
  
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 32 for calling the SeriesTestsMixin obj's underlying member method code with example usage: obj.test_repeat() without return types