code: def test_repr_dense_matrix(self):
      mat = DenseMatrix(3, 2, [0, 1, 4, 6, 8, 10])
      self.assertTrue(
          repr(mat),
          "DenseMatrix(3, 2, [0.0, 1.0, 4.0, 6.0, 8.0, 10.0], False)",
      )
  
      mat = DenseMatrix(3, 2, [0, 1, 4, 6, 8, 10], True)
      self.assertTrue(
          repr(mat),
          "DenseMatrix(3, 2, [0.0, 1.0, 4.0, 6.0, 8.0, 10.0], False)",
      )
  
      mat = DenseMatrix(6, 3, zeros(18))
      self.assertTrue(
          repr(mat),
          "DenseMatrix(6, 3, [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ..., \
                  0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], False)",
      )
  
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 12 for calling the VectorTests obj's underlying member method code with example usage: obj.test_repr_dense_matrix() without return types