code: def __call__(self, data) -> Tuple[Any, Any]:
      logger.info(data[self.label].array)
  
      result = []
      for idx, score in enumerate(data[self.label]):
          name = f"label_{idx}"
          name = self.label_names.get(idx) if self.label_names else name
          if name:
              result.append(
                  {"idx": idx, "label": name, "score": float(score)}
              )
  
      return None, {"prediction": result}
  
imports: import logging
  import tempfile
  from typing import Any, Dict, Iterable, List, Optional, Tuple
  import itk
  import nrrd
  import numpy
  import torch
  from monai.data import MetaTensor
  from monai.data.image_writer import NibabelWriter
  from monailabel.utils.others.detection import create_slicer_detection_json
  from monailabel.utils.others.generic import file_ext
  from monailabel.utils.others.pathology import create_asap_annotations_xml, create_dsa_annotations_json
label_desc: Use image node_id 2 for calling the ClassificationWriter obj's underlying member method code with example usage: obj.__call__(data) and returns: None,  dict