code: def test_pop(self):
      midx = pd.MultiIndex(
          [["lama", "cow", "falcon"], ["speed", "weight", "length"]],
          [[0, 0, 0, 1, 1, 1, 2, 2, 2], [0, 1, 2, 0, 1, 2, 0, 1, 2]],
      )
      pdf = pd.DataFrame(
          {"x": [45, 200, 1.2, 30, 250, 1.5, 320, 1, 0.3]}, index=midx
      )
      psdf = ps.from_pandas(pdf)
  
      pser = pdf.x
      psser = psdf.x
  
      self.assert_eq(
          psser.pop(("lama", "speed")), pser.pop(("lama", "speed"))
      )
      self.assert_eq(psser, pser)
      self.assert_eq(psdf, pdf)
  
      msg = r"'Key length \(3\) exceeds index depth \(2\)'"
      with self.assertRaisesRegex(KeyError, msg):
          psser.pop(("lama", "speed", "x"))
  
      msg = "'key' should be string or tuple that contains strings"
      with self.assertRaisesRegex(TypeError, msg):
          psser.pop(["lama", "speed"])
  
      pser = pd.Series(["a", "b", "c", "a"], dtype="category")
      psser = ps.from_pandas(pser)
  
      self.assert_eq(psser.pop(0), pser.pop(0))
      self.assert_eq(psser, pser)
  
      self.assert_eq(psser.pop(3), pser.pop(3))
      self.assert_eq(psser, pser)
  
imports: import unittest
  from itertools import product
  import numpy
  import pandas
  from pyspark import pandas
  from pyspark.errors import PySparkValueError
  from pyspark.testing.pandasutils import ComparisonTestBase
  from pyspark.testing.sqlutils import SQLTestUtils
label_desc: Use image node_id 10 for calling the SeriesComputeMixin obj's underlying member method code with example usage: obj.test_pop() without return types