code: def _test_serialize(self, v):
      ser = CPickleSerializer()
      self.assertEqual(v, ser.loads(ser.dumps(v)))
      jvec = self.sc._jvm.org.apache.spark.mllib.api.python.SerDe.loads(
          bytearray(ser.dumps(v))
      )
      nv = ser.loads(
          bytes(
              self.sc._jvm.org.apache.spark.mllib.api.python.SerDe.dumps(
                  jvec
              )
          )
      )
      self.assertEqual(v, nv)
      vs = [v] * 100
      jvecs = (
          self.sc._jvm.org.apache.spark.mllib.api.python.SerDe.loads(
              bytearray(ser.dumps(vs))
          )
      )
      nvs = ser.loads(
          bytes(
              self.sc._jvm.org.apache.spark.mllib.api.python.SerDe.dumps(
                  jvecs
              )
          )
      )
      self.assertEqual(vs, nvs)
  
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 1 for calling the VectorTests obj's underlying member method code with example usage: obj._test_serialize(v) without return types