class_docstr: This class tests the Detector Classifier.
class_docstr_tok: ["This","class","tests","the","Detector","Classifier","."]
code: def test_predict(self):
      predictions = self.detector_classifier.predict(
          x=self.x_test_mnist[0:1]
      )
      predictions_expected = 7
      self.assertEqual(predictions.shape, (1, 11))
      self.assertEqual(
          np.argmax(predictions, axis=1)[0], predictions_expected
      )
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import os
  import tempfile
  import logging
  import unittest
  import numpy
  import torch
  import torch.nn
  import torch.optim
  from art.estimators.classification.pytorch import PyTorchClassifier
  from art.estimators.classification.detector_classifier import DetectorClassifier
  from tests.utils import TestBase, get_image_classifier_pt
label_desc: Use image node_id 4 for calling the TestDetectorClassifier obj's underlying member method code with example usage: obj.test_predict() without return types