code: def setup():
      global private, imagenet40, encoded, lambdas, using, real_using, pub_using
  
      # Load all the things we've made.
      encoded = np.load("data/encryption.npy")
      labels = np.load("data/label.npy")
      using = np.load(
          "data/predicted_pairings_80.npy", allow_pickle=True
      )
      lambdas = list(
          np.load("data/predicted_lambdas_80.npy", allow_pickle=True)
      )
      for x in lambdas:
          while len(x) < 2:
              x.append(0)
      lambdas = np.array(lambdas)
  
      # Construct the mapping
      public_to_private_new = np.zeros((2, 5000, 100))
  
      cs = [0] * 100
      for i, row in enumerate(using):
          for j, b in enumerate(row[:2]):
              public_to_private_new[j, i, b] = 1e9
              cs[b] += 1
      using = public_to_private_new
  
file_path: privacy/research/instahide_attack_2020/step_5_reconstruct.py
imports: import json
  import numpy
  import jax.numpy
  import jax
  import collections
  from PIL import Image
  import jax.example_libraries.optimizers
  import matplotlib.pyplot
label_desc: Use image node_id 3 for calling a global function with example usage: setup() without return types