code: def fixture_model(adversarial_class) -> Any:
      """
      Artificial model that allows execute predict function.
      :returns: Artificial ML Model
      """
  
      class ArtificialModel:
          """
          Model that simulates behaviour of a real ML model.
          """
  
          def __init__(self) -> None:
              self.x = None
              self.channels_first = False
  
          def predict(self, x: np.ndarray) -> np.ndarray:
              """
              Predict class of an image.
              :returns: prediction scores for arrays
              """
              self.x = x
              arr = np.zeros(42)
              arr[adversarial_class] = 1
              return np.array([arr])
  
      return ArtificialModel()
  
imports: from typing import Callable, Tuple, Any
  import numpy
  import pytest
  from art.attacks.evasion.laser_attack.laser_attack import LaserBeam, LaserBeamGenerator, LaserBeamAttack
  from art.attacks.evasion.laser_attack.utils import ImageGenerator
  from tests.utils import ARTTestException
label_desc: Use image node_id 12 for calling a global function with example usage: fixture_model(adversarial_class) and returns: ArtificialModel, np