code: def test_dot(self):
      sv = SparseVector(4, {1: 1, 3: 2})
      dv = DenseVector(array([1.0, 2.0, 3.0, 4.0]))
      lst = DenseVector([1, 2, 3, 4])
      mat = array(
          [
              [1.0, 2.0, 3.0, 4.0],
              [1.0, 2.0, 3.0, 4.0],
              [1.0, 2.0, 3.0, 4.0],
              [1.0, 2.0, 3.0, 4.0],
          ]
      )
      arr = pyarray.array("d", [0, 1, 2, 3])
      self.assertEqual(10.0, sv.dot(dv))
      self.assertTrue(
          array_equal(array([3.0, 6.0, 9.0, 12.0]), sv.dot(mat))
      )
      self.assertEqual(30.0, dv.dot(dv))
      self.assertTrue(
          array_equal(array([10.0, 20.0, 30.0, 40.0]), dv.dot(mat))
      )
      self.assertEqual(30.0, lst.dot(dv))
      self.assertTrue(
          array_equal(array([10.0, 20.0, 30.0, 40.0]), lst.dot(mat))
      )
      self.assertEqual(7.0, sv.dot(arr))
  
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 3 for calling the VectorTests obj's underlying member method code with example usage: obj.test_dot() without return types