code: def dummy_model_and_inputs():
      i1 = Input(shape=(10,), name="i1")
      a = Dense(1, name="fc1")(i1)
      model = Model(inputs=[i1], outputs=[a])
      x = np.random.uniform(size=(1, 10))
      return model, x
  
file_path: keract/tests/display_activations_test.py
imports: import os
  import unittest
  from glob import glob
  import numpy
  import tensorflow.keras.backend
  from tensorflow.keras import Input, Model
  from tensorflow.keras.layers import Dense
  from keract import get_activations, display_activations
  from keract.keract import _convert_1d_to_2d
label_desc: Use image node_id 1 for calling a global function with example usage: dummy_model_and_inputs() and returns: model,  x