code: def test_accuracy_calculator_and_faiss_with_torch_and_numpy(self):
      for use_numpy in [True, False]:
          self._test_accuracy_calculator_and_faiss(use_numpy)
          self._test_accuracy_calculator_and_faiss_avg_of_avgs(
              use_numpy
          )
          self._test_accuracy_calculator_custom_comparison_function(
              use_numpy
          )
          self._test_accuracy_calculator_float_custom_comparison_function(
              use_numpy
          )
  
imports: import itertools
  import logging
  import unittest
  import numpy
  import torch
  from pytorch_metric_learning.distances import LpDistance
  from pytorch_metric_learning.utils import accuracy_calculator
  from pytorch_metric_learning.utils.common_functions import LOGGER
  from pytorch_metric_learning.utils.inference import CustomKNN, FaissKMeans, FaissKNN
  from ..None import TEST_DEVICE
label_desc: Use image node_id 1 for calling the TestCalculateAccuraciesAndFaiss obj's underlying member method code with example usage: obj.test_accuracy_calculator_and_faiss_with_torch_and_numpy() without return types