code: def test_set_input_fail(self):
      builder = self._build_nn_with_one_ip_layer()
  
      # fails since input_names and input_dims do not have same size
      with self.assertRaises(ValueError):
          builder.set_input(
              input_names=["data_1", "data_2"], input_dims=[(3,)]
          )
  
imports: import unittest
  import numpy
  import coremltools
  from coremltools.models import datatypes, MLModel
  from coremltools.models.neural_network import NeuralNetworkBuilder
  from coremltools.models.neural_network.quantization_utils import _convert_array_to_nbit_quantized_bytes, quantize_weights
  from coremltools.models.utils import _macos_version, _is_macos
  from coremltools.converters.mil.backend.nn.op_mapping import to_py_type
label_desc: Use image node_id 4 for calling the BasicNumericCorrectnessTest obj's underlying member method code with example usage: obj.test_set_input_fail() without return types