code: def test_sparse_vector_iteration(self):
      self.assertListEqual(
          list(SparseVector(3, [], [])), [0.0, 0.0, 0.0]
      )
      self.assertListEqual(
          list(SparseVector(5, [0, 3], [1.0, 2.0])),
          [1.0, 0.0, 0.0, 2.0, 0.0],
      )
  
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 10 for calling the VectorTests obj's underlying member method code with example usage: obj.test_sparse_vector_iteration() without return types