code: def test_reindex_multiple_tensors(self):
      values = (
          torch.tensor([3, 7, 11], dtype=torch.float),
          torch.tensor([4, 2, 89], dtype=torch.float),
      )
      all_ids = ["a", "b", "c", "z", "4"]
      batch_ids = ["z", "4", "b"]
      reindexed_values = reindex_multiple_tensors(
          all_ids, batch_ids, values
      )
      npt.assert_equal(
          reindexed_values[0].numpy(),
          np.array([0.0, 11.0, 0.0, 3.0, 7.0]),
      )
      npt.assert_equal(
          reindexed_values[1].numpy(),
          np.array([0.0, 89.0, 0.0, 4.0, 2.0]),
      )
  
imports: import unittest
  from io import BytesIO
  from itertools import cycle
  from unittest import mock
  import numpy
  import numpy.testing
  import torch
  from parameterized.parameterized import parameterized
  from pytorch_lightning import seed_everything
  from reagent.mab.mab_algorithm import get_arm_indices, place_values_at_indices, randomized_argmax, reindex_multiple_tensors
  from reagent.mab.simulation import BernoilliMAB, compare_bandit_algos, multiple_evaluations_bandit_algo, single_evaluation_bandit_algo
  from reagent.mab.thompson_sampling import BaseThompsonSampling, BernoulliBetaThompson, NormalGammaThompson
  from reagent.mab.ucb import BaseUCB, MetricUCB, UCB1, UCBTuned
label_desc: Use image node_id 5 for calling the TestMAButils obj's underlying member method code with example usage: obj.test_reindex_multiple_tensors() without return types