code: def dummy_data(request):
      multi = request.node.get_closest_marker("multiclass")
      image_output = request.node.get_closest_marker("image_output")
      cats = 10 if multi else 1
      import numpy as np
  
      data = np.random.randint(255, size=(100, 10, 10, 3))
      labels = np.random.randint(2, size=(100, cats))
      if image_output:
          labels = data
      return data, labels
  
imports: import glob
  import json
  import os
  import pytest
  import tensorflow
  from tensorflow.keras import backend
  from tensorflow.keras.layers import Dense, Flatten, Reshape
  from tensorflow.keras.models import Sequential
  from wandb.keras import WandbCallback
label_desc: Use image node_id 2 for calling a global function with example usage: dummy_data(request) and returns: data,  labels