code: def test_serialize(self):
      self._test_serialize(DenseVector(range(10)))
      self._test_serialize(DenseVector(array([1.0, 2.0, 3.0, 4.0])))
      self._test_serialize(DenseVector(pyarray.array("d", range(10))))
      self._test_serialize(SparseVector(4, {1: 1, 3: 2}))
      self._test_serialize(SparseVector(3, {}))
      self._test_serialize(DenseMatrix(2, 3, range(6)))
      sm1 = SparseMatrix(
          3, 4, [0, 2, 2, 4, 4], [1, 2, 1, 2], [1.0, 2.0, 4.0, 5.0]
      )
      self._test_serialize(sm1)
  
imports: import array
  import unittest
  from numpy import array, array_equal, zeros, arange, tile, ones, inf
  import pyspark.ml.linalg
  from pyspark.serializers import CPickleSerializer
  from pyspark.mllib.linalg import Vector, SparseVector, DenseVector, VectorUDT, _convert_to_vector, DenseMatrix, SparseMatrix, Vectors, Matrices, MatrixUDT
  from pyspark.mllib.linalg.distributed import RowMatrix, IndexedRowMatrix, IndexedRow
  from pyspark.mllib.regression import LabeledPoint
  from pyspark.sql import Row
  from pyspark.testing.mllibutils import MLlibTestCase
  from pyspark.testing.utils import have_scipy
label_desc: Use image node_id 2 for calling the VectorTests obj's underlying member method code with example usage: obj.test_serialize() without return types