code: def apply_perturbations(i, j, X, increase, theta, clip_min, clip_max):
      """
      TensorFlow implementation for apply perturbations to input features based
      on saliency maps
      :param i: index of first selected feature
      :param j: index of second selected feature
      :param X: a matrix containing our input features for our sample
      :param increase: boolean; true if we are increasing pixels, false otherwise
      :param theta: delta for each feature adjustment
      :param clip_min: mininum value for a feature in our sample
      :param clip_max: maximum value for a feature in our sample
      : return: a perturbed input feature matrix for a target class
      """
      warnings.warn(
          "This function is dead code and will be removed on or after 2019-07-18"
      )
  
      # perturb our input sample
      if increase:
          X[0, i] = np.minimum(clip_max, X[0, i] + theta)
          X[0, j] = np.minimum(clip_max, X[0, j] + theta)
      else:
          X[0, i] = np.maximum(clip_min, X[0, i] - theta)
          X[0, j] = np.maximum(clip_min, X[0, j] - theta)
  
      return X
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import warnings
  import numpy
  from cleverhans.attacks.carlini_wagner_l2 import CWL2
  from cleverhans.attacks.deep_fool import deepfool_batch, deepfool_attack
  from cleverhans.attacks.elastic_net_method import EAD
  from cleverhans.attacks.lbfgs import LBFGS_impl
  from cleverhans.attacks.saliency_map_method import jsma_symbolic
  from cleverhans.attacks.spsa import TensorOptimizer, TensorGradientDescent, TensorAdam
  from cleverhans.attacks.spsa import SPSAAdam, margin_logit_loss, _apply_black_border
  from cleverhans.attacks.spsa import _apply_transformation, spm, parallel_apply_transformations
  from cleverhans.attacks.virtual_adversarial_method import vatm
  from cleverhans.utils_tf import jacobian_graph, jacobian_augmentation
  from cleverhans import utils
label_desc: Use image node_id 3 for calling a global function with example usage: apply_perturbations(i, j, X, increase, theta, clip_min, clip_max) and returns: X