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 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 8 for calling the VectorTests obj's underlying member method code with example usage: obj.test_conversion() without return types