code: def test_conversion(self):
      # numpy arrays should be automatically upcast to float64
      # tests for fix of [SPARK-5089]
      v = array([1, 2, 3, 4], dtype="float64")
      dv = DenseVector(v)
      self.assertTrue(dv.array.dtype == "float64")
      v = array([1, 2, 3, 4], dtype="float32")
      dv = DenseVector(v)
      self.assertTrue(dv.array.dtype == "float64")
  
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 8 for calling the VectorTests obj's underlying member method code with example usage: obj.test_conversion() without return types