code: def test_none_hundred(self):
      binary_accuracy = BinaryAccuracy(reduction="none")
      actual = binary_accuracy(self.predictions, self.label_predictions)
      self.assertEqual(self.targets.shape, actual.shape)
      self.assertTrue(
          torch.all(
              100.0 * torch.ones_like(self.label_predictions).float()
              == actual
          )
      )
  
imports: from unittest import TestCase, skipIf
  import numpy
  import torch
  from poutyne import Accuracy, BinaryAccuracy, TopKAccuracy, acc, bin_acc, topk
label_desc: Use image node_id 10 for calling the BinaryAccuracyTest obj's underlying member method code with example usage: obj.test_none_hundred() without return types