code: def helper_assertions(self, inference_model):
      distances, indices = inference_model.get_nearest_neighbors(
          [self.train_vectors[0]], k=10
      )
      # The closest image is the query itself
      self.assertTrue(indices[0][0] == 0)
      self.assertTrue(len(indices) == 1)
      self.assertTrue(len(distances) == 1)
      self.assertTrue(len(indices[0]) == 10)
      self.assertTrue(len(distances[0]) == 10)
  
imports: import os
  import unittest
  import uuid
  import faiss
  import torch
  import torchvision
  from torchvision import datasets, transforms
  from pytorch_metric_learning.utils.inference import InferenceModel
  from ..None import TEST_DEVICE
label_desc: Use image node_id 7 for calling the TestInference obj's underlying member method code with example usage: obj.helper_assertions(inference_model) without return types