code: def test_evaluate(self):
      ret = self.model.evaluate(
          self.sf.head(), metric="average_precision"
      )
  
      self.assertTrue(set(ret), {"average_precision"})
      self.assertEqual(
          set(ret["average_precision"].keys()), set(_CLASSES)
      )
  
      ret = self.model.evaluate(self.sf.head())
      self.assertEqual(
          set(ret),
          {"mean_average_precision_50", "average_precision_50"},
      )
      self.assertTrue(
          isinstance(ret["mean_average_precision_50"], float)
      )
      self.assertEqual(
          set(ret["average_precision_50"].keys()), set(_CLASSES)
      )
  
      # Empty dataset should not fail with error (although it should to 0
      # metrics)
      ret = self.model.evaluate(self.sf[:0])
      self.assertEqual(ret["mean_average_precision_50"], 0.0)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import unittest
  import pytest
  from .None import util
  import turicreate
  import tempfile
  import numpy
  import platform
  import pytest
  import sys
  import os
  from turicreate.toolkits._main import ToolkitError
  from turicreate.toolkits._internal_utils import _raise_error_if_not_sarray, _mac_ver
  from six import StringIO
label_desc: Use image node_id 21 for calling the ObjectDetectorTest obj's underlying member method code with example usage: obj.test_evaluate() without return types