code: def test_check_illegal_input(self):
      # We can't have constraints that are complete subsets of another. This leads to a preverse
      # interpretation of "constraint fulfillment": does generating [1,2,3] fulfill the constraint?
      # It would mean that it generated [1,2] which fulfills it, but it's in the middle of potentially
      # fulfilling [1,2,3,4]. If we believe that [1,2,3] does fulfill the constraint, then the algorithm
      # will necessarily never reach [1,2,3,4], giving users a false sense of control (better to just not allow it).
      cset = [[1, 2], [1, 2, 3, 4]]
  
      with self.assertRaises(ValueError):
          DisjunctiveConstraint(cset)
  
file_path: transformers/tests/generation/test_beam_constraints.py
imports: import unittest
  from transformers import is_torch_available
  from transformers.testing_utils import require_torch
label_desc: Use image node_id 2 for calling the ConstraintTest obj's underlying member method code with example usage: obj.test_check_illegal_input() without return types