code: def sparse_and_sparse_matrices_are_the_same(self, X, ensured_X):
      self.assertEqual(X.shape, ensured_X.shape)
      # compare sparse matrices per
      # http://stackoverflow.com/questions/30685024/check-if-two-scipy-sparse-csr-matrix-are-equal
      self.assertTrue((X != ensured_X).nnz == 0)
  
imports: import itertools
  import unittest
  import numpy
  import scipy.sparse
  from builtins import range
  from builtins import zip
  from sklearn.base import BaseEstimator
  from .test_utils import SPARSE_MATRIX_FORMATS
  from ..base import ProblemTransformationBase
label_desc: Use image node_id 4 for calling the ProblemTransformationBaseTest obj's underlying member method code with example usage: obj.sparse_and_sparse_matrices_are_the_same(X, ensured_X) without return types