code: def test_raw_prediction(self):
      predictor = create_single_model_predictor()
      images = [
          gray_scale_image_loader.load_image(file)
          for file in file_dataset().images
      ] * 10
      for result in predictor.predict_raw(images):
          self.assertGreater(result.outputs.avg_char_probability, 0)
  
      predictor.benchmark_results.pretty_print()
  
imports: import os
  import unittest
  import numpy
  from calamari_ocr.ocr import SavedCalamariModel
  from calamari_ocr.ocr.predict.params import PredictionResult, Predictions
  from tensorflow import keras
  from calamari_ocr.ocr.dataset.datareader.abbyy.reader import Abbyy
  from calamari_ocr.ocr.dataset.datareader.base import CalamariDataGeneratorParams
  from calamari_ocr.ocr.dataset.datareader.extended_prediction import ExtendedPredictionDataParams
  from calamari_ocr.ocr.dataset.datareader.file import FileDataParams
  from calamari_ocr.ocr.dataset.datareader.hdf5.reader import Hdf5
  from calamari_ocr.ocr.dataset.datareader.pagexml.reader import PageXML
  from calamari_ocr.ocr.predict.predictor import Predictor, PredictorParams, MultiPredictor
  from calamari_ocr.scripts.compute_average_prediction_confidence import run
  from calamari_ocr.scripts.predict import run, PredictArgs
  from calamari_ocr.utils import glob_all
  from calamari_ocr.utils.image import ImageLoaderParams
label_desc: Use image node_id 11 for calling the TestPrediction obj's underlying member method code with example usage: obj.test_raw_prediction() without return types