code: def test_valid_k(self):
      for k in [-1, 0, 1.5, "max"]:
          self.assertRaises(
              ValueError,
              lambda: accuracy_calculator.AccuracyCalculator(k=k),
          )
  
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 TestCalculateAccuraciesValidK obj's underlying member method code with example usage: obj.test_valid_k() without return types