code: def test_equals(self):
      indices = [1, 2, 4]
      values = [1.0, 3.0, 2.0]
      self.assertTrue(
          Vectors._equals(
              indices, values, list(range(5)), [0.0, 1.0, 3.0, 0.0, 2.0]
          )
      )
      self.assertFalse(
          Vectors._equals(
              indices, values, list(range(5)), [0.0, 3.0, 1.0, 0.0, 2.0]
          )
      )
      self.assertFalse(
          Vectors._equals(
              indices, values, list(range(5)), [0.0, 3.0, 0.0, 2.0]
          )
      )
      self.assertFalse(
          Vectors._equals(
              indices, values, list(range(5)), [0.0, 1.0, 3.0, 2.0, 2.0]
          )
      )
  
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 7 for calling the VectorTests obj's underlying member method code with example usage: obj.test_equals() without return types