code: def test_check_consistent_length(setup):
      t = mt.random.RandomState(0).rand(10, 5)
      t2 = t[t[:, 0] < 0.5]
      t3 = t[t[:, 1] < 0.1]
  
      check_consistent_length(t2, t2.copy())
      with pytest.raises(ValueError):
          check_consistent_length(t2, t3)
  
imports: from itertools import product
  import numpy
  import pytest
  import scipy.sparse
  from sklearn.utils.estimator_checks import _NotAnArray
  from sklearn.utils._mocking import MockDataFrame
  from sklearn.utils._testing import assert_raise_message, assert_raises_regex
  from ....None import tensor
  from ....None import dataframe
  from ....tensor.core import Tensor
  from ..validation import check_array, check_consistent_length
label_desc: Use image node_id 9 for calling a global function with example usage: test_check_consistent_length(setup) without return types