code: def test_storage_load_dict_invalid_number_of_paramters(self):
      network = layers.join(
          layers.Input(3),
          layers.Relu(4, name="relu"),
          layers.Linear(5, name="linear") > layers.Relu(),
          layers.Softmax(6, name="softmax"),
      )
      data = {
          "metadata": {},  # avoided for simplicity
          "graph": {},  # avoided for simplicity
          # Input layer was avoided on purpose
          "layers": [
              {
                  "name": "name-1",
                  "class_name": "Relu",
                  "configs": {},
                  "parameters": {
                      "weight": {
                          "trainable": True,
                          "value": np.ones((3, 4)),
                      },
                      "bias": {
                          "trainable": True,
                          "value": np.ones((4,)),
                      },
                  },
              }
          ],
      }
  
      with self.assertRaises(ParameterLoaderError):
          storage.load_dict(network, data, ignore_missing=False)
  
imports: import copy
  import numpy
  from neupy.utils import asfloat
  from neupy import layers, storage
  from neupy.storage import validate_data_structure, InvalidFormat, ParameterLoaderError, load_layer_parameter
  from base import BaseTestCase
label_desc: Use image node_id 5 for calling the DictStorageTestCase obj's underlying member method code with example usage: obj.test_storage_load_dict_invalid_number_of_paramters() without return types