code: def test_clip(self):
      pdf = pd.DataFrame(
          {"A": [0, 2, 4], "B": [4, 2, 0], "X": [-1, 10, 0]},
          index=np.random.rand(3),
      )
      psdf = ps.from_pandas(pdf)
  
      # Assert list-like values are not accepted for 'lower' and 'upper'
      msg = "List-like value are not supported for 'lower' and 'upper' at the moment"
      with self.assertRaises(TypeError, msg=msg):
          psdf.clip(lower=[1])
      with self.assertRaises(TypeError, msg=msg):
          psdf.clip(upper=[1])
  
      # Assert no lower or upper
      self.assert_eq(psdf.clip(), pdf.clip())
      # Assert lower only
      self.assert_eq(psdf.clip(1), pdf.clip(1))
      # Assert upper only
      self.assert_eq(psdf.clip(upper=3), pdf.clip(upper=3))
      # Assert lower and upper
      self.assert_eq(psdf.clip(1, 3), pdf.clip(1, 3))
  
      pdf["clip"] = pdf.A.clip(lower=1, upper=3)
      psdf["clip"] = psdf.A.clip(lower=1, upper=3)
      self.assert_eq(psdf, pdf)
  
      # Assert behavior on string values
      str_psdf = ps.DataFrame(
          {"A": ["a", "b", "c"]}, index=np.random.rand(3)
      )
      self.assert_eq(str_psdf.clip(1, 3), str_psdf)
  
imports: import unittest
  import numpy
  import pandas
  from pyspark.sql import functions
  from pyspark import pandas
  from pyspark.testing.pandasutils import ComparisonTestBase
  from pyspark.testing.sqlutils import SQLTestUtils
label_desc: Use image node_id 4 for calling the FrameComputeMixin obj's underlying member method code with example usage: obj.test_clip() without return types