code: def get_probs(pool, dummy_param):
      acc = []
      for x in pool:
          b = np.zeros([1, 3, 10])
          b[0, x % 3, :] = 1
          acc.append(b)
      if acc:
          return np.vstack(acc)
      return None
  
imports: import os
  import pickle
  import warnings
  from unittest.mock import patch
  import numpy
  import pytest
  from torch.utils.data import Dataset
  from baal.active import ActiveLearningDataset, heuristics
  from baal.active.active_loop import ActiveLearningLoop
label_desc: Use image node_id 1 for calling a global function with example usage: get_probs(pool, dummy_param) and returns: None, np