code: def test_explain_prediction_score(simple_seq):
      expl = explain_prediction(simple_seq, np.zeros((1, 32, 32, 1)))
      assert expl.targets[0].score is not None
      assert expl.targets[0].proba is None
  
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 7 for calling a global function with example usage: test_explain_prediction_score(simple_seq) without return types