code: def test_mismatching_dimensions_throws_configuration_error(self):
      params = Params.from_file(self.param_file)
      # Make the encoder wrong - it should be 2 to match
      # the embedding dimension from the text_field_embedder.
      params["model"]["encoder"]["input_size"] = 10
      with pytest.raises(ConfigurationError):
          Model.from_params(
              vocab=self.vocab, params=params.get("model")
          )
  
imports: from __future__ import with_statement
  from __future__ import division
  from __future__ import absolute_import
  from copy import deepcopy
  import pytest
  from allennlp.common.testing import ModelTestCase
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.params import Params
  from allennlp.models import Model
label_desc: Use image node_id 7 for calling the BiattentiveClassificationNetworkTest obj's underlying member method code with example usage: obj.test_mismatching_dimensions_throws_configuration_error() without return types