code: def _generate_examples(self, file_paths):
      
      for label, path in sorted(file_paths.items(), key=lambda x: x[0]):
        with tf.io.gfile.GFile(path, "rb") as f:
          class_images = np.load(f)
          for np_image in class_images:
            yield {
                "image": np_image.reshape(_QUICKDRAW_IMAGE_SHAPE),
                "label": label,
            }
docs: Generate QuickDraw bitmap examples.
  
      Given a list of file paths with data for each class label, generate examples
      in a random order.
  
      Args:
        file_paths: (dict of {str: str}) the paths to files containing the data,
                    indexed by label.
  
      Yields:
        The QuickDraw examples, as defined in the dataset info features.