code: def test_score_threshold_option(self):
      options = _ImageClassifierOptions(
          base_options=_BaseOptions(model_asset_path=self.model_path),
          score_threshold=_SCORE_THRESHOLD,
      )
      with _ImageClassifier.create_from_options(options) as classifier:
          # Performs image classification on the input.
          image_result = classifier.classify(self.test_image)
          classifications = image_result.classifications
  
          for classification in classifications:
              for category in classification.categories:
                  score = category.score
                  self.assertGreaterEqual(
                      score,
                      _SCORE_THRESHOLD,
                      (
                          "Classification with score lower than threshold found. "
                          f"{classification}"
                      ),
                  )
  
imports: import enum
  import os
  from unittest import mock
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  from mediapipe.python._framework_bindings import image
  from mediapipe.tasks.python.components.containers import category
  from mediapipe.tasks.python.components.containers import classification_result
  from mediapipe.tasks.python.components.containers import rect
  from mediapipe.tasks.python.core import base_options
  from mediapipe.tasks.python.test import test_utils
  from mediapipe.tasks.python.vision import image_classifier
  from mediapipe.tasks.python.vision.core import image_processing_options
  from mediapipe.tasks.python.vision.core import vision_task_running_mode
label_desc: Use image node_id 11 for calling the ImageClassifierTest obj's underlying member method code with example usage: obj.test_score_threshold_option() without return types