code: def ensure_output_spaces_contain_the_same_data(self, y, y_ensured):
      stride = y.shape[1]
      self.assertEqual(y.shape[0] * y.shape[1], y_ensured.shape[0])
      self.assertEqual(len(y_ensured.shape), 1)
      for row in range(y.shape[0]):
          for column in range(y.shape[1]):
              if sp.issparse(y):
                  self.assertEqual(
                      y[row, column], y_ensured[row * stride + column]
                  )
              else:
                  self.assertEqual(
                      y[row][column], y_ensured[row * stride + column]
                  )
  
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 1 for calling the ProblemTransformationBaseTest obj's underlying member method code with example usage: obj.ensure_output_spaces_contain_the_same_data(y, y_ensured) without return types