code: def test_series_loc_setitem(self):
      pdf = pd.DataFrame(
          {"x": [1, 2, 3], "y": [4, 5, 6]},
          index=["cobra", "viper", "sidewinder"],
      )
      psdf = ps.from_pandas(pdf)
  
      pser = pdf.x
      psery = pdf.y
      psser = psdf.x
      pssery = psdf.y
  
      pser.loc[pser % 2 == 1] = -pser
      psser.loc[psser % 2 == 1] = -psser
      self.assert_eq(psser, pser)
      self.assert_eq(psdf, pdf)
      self.assert_eq(pssery, psery)
  
      for key, value in [
          (["viper", "sidewinder"], 10),
          ("viper", 50),
          (slice(None), 10),
          (slice(None, "viper"), 20),
          (slice("viper", None), 30),
      ]:
          with self.subTest(key=key, value=value):
              pser.loc[key] = value
              psser.loc[key] = value
              self.assert_eq(psser, pser)
              self.assert_eq(psdf, pdf)
              self.assert_eq(pssery, psery)
  
      with self.assertRaises(ValueError):
          psser.loc["viper"] = -psser
  
      # multiindex
      pser = pd.Series(
          [1, 2, 3],
          index=pd.MultiIndex.from_tuples(
              [("x", "cobra"), ("x", "viper"), ("y", "sidewinder")]
          ),
      )
      psser = ps.from_pandas(pser)
  
      pser.loc["x"] = pser * 10
      psser.loc["x"] = psser * 10
      self.assert_eq(psser, pser)
  
      pser.loc["y"] = pser * 10
      psser.loc["y"] = psser * 10
      self.assert_eq(psser, pser)
  
imports: import unittest
  import numpy
  import pandas
  from pyspark import pandas
  from pyspark.testing.pandasutils import PandasOnSparkTestCase
  from pyspark.testing.sqlutils import SQLTestUtils
label_desc: Use image node_id 15 for calling the IndexingLocMixin obj's underlying member method code with example usage: obj.test_series_loc_setitem() without return types