code: def l1_config(
      num_iter=10,
      epsilon=10,
      step_size=1,
      percentile=99,
      num_classes=10,
  ):
      return {
          "num_iter": num_iter,
          "epsilon": epsilon,
          "step_size": step_size,
          "q": percentile,
          "num_classes": num_classes,
      }
  
imports: from absl import logging
  import gin
  import neural_structured_learning
  from multi_representation_adversary.cleverhans_adapter import sparse_l1_descent
  from multi_representation_adversary.cleverhans_adapter import utils_tf
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 3 for calling a global function with example usage: l1_config(num_iter, epsilon, step_size, percentile, num_classes) and returns: dict