code: def test_unwrap_udt(self):
      df = self.spark.createDataFrame(
          [
              (Vectors.dense(1.0, 2.0, 3.0),),
              (Vectors.sparse(3, {1: 1.0, 2: 5.5}),),
          ],
          ["vec"],
      )
      results = df.select(unwrap_udt("vec").alias("v2")).collect()
      unwrapped_vec = Row("type", "size", "indices", "values")
      expected = [
          Row(v2=unwrapped_vec(1, None, None, [1.0, 2.0, 3.0])),
          Row(v2=unwrapped_vec(0, 3, [1, 2], [1.0, 5.5])),
      ]
      self.assertEqual(results, expected)
  
imports: import unittest
  import array
  from numpy import arange, array, array_equal, inf, ones, tile, zeros
  from pyspark.serializers import CPickleSerializer
  from pyspark.ml.linalg import DenseMatrix, DenseVector, MatrixUDT, SparseMatrix, SparseVector, Vector, VectorUDT, Vectors
  from pyspark.testing.mllibutils import MLlibTestCase
  from pyspark.sql import Row
  from pyspark.sql.functions import unwrap_udt
label_desc: Use image node_id 4 for calling the VectorUDTTests obj's underlying member method code with example usage: obj.test_unwrap_udt() without return types