code: def test_get_activation_layer(simple_seq, layer, expected_layer):
      """Test different ways to specify activation layer, and automatic activation layer getter"""
      assert _get_activation_layer(
          simple_seq, layer
      ) == simple_seq.get_layer(name=expected_layer)
  
imports: import pytest
  import keras.backend
  from keras.models import Sequential, Model
  from keras.layers import Dense, Activation, Conv2D, GlobalAveragePooling2D, Input, Lambda
  from keras.backend import epsilon
  import numpy
  from eli5.keras.explain_prediction import explain_prediction, _validate_doc, _get_activation_layer
  from eli5.keras.gradcam import _get_target_prediction, _calc_gradient, gradcam
label_desc: Use image node_id 2 for calling a global function with example usage: test_get_activation_layer(simple_seq, layer, expected_layer) without return types