code: def test_models_result(args):
      model_builder, result = args
      model = model_builder(weights="imagenet")
      input_ = _get_panda_input(model.input_shape)
      prediction = model.predict(input_)
      assert result[0] == prediction.argmax()
      assert np.allclose(result[1], prediction.max())
  
file_path: efficientnet/tests/test_model.py
imports: import os
  import sys
  import pytest
  import numpy
  from skimage.io import imread
label_desc: Use image node_id 6 for calling a global function with example usage: test_models_result(args) without return types