code: def test_scalar_mix_throws_error_on_incorrect_number_of_inputs(self):
      mixture = ScalarMix(3)
      tensors = [torch.randn([3, 4, 5]) for _ in range(5)]
      with pytest.raises(ConfigurationError):
          _ = mixture(tensors)
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/modules/scalar_mix_test.py
imports: from __future__ import with_statement
  from __future__ import division
  from __future__ import absolute_import
  import torch
  import pytest
  import numpy
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.common.checks import ConfigurationError
  from allennlp.modules import ScalarMix
label_desc: Use image node_id 2 for calling the TestScalarMix obj's underlying member method code with example usage: obj.test_scalar_mix_throws_error_on_incorrect_number_of_inputs() without return types