code: def run(self) -> None:
      has_reader = self._dataset_reader is not None
      index = 0
      if has_reader:
          for batch in lazy_groups_of(
              self._get_instance_data(), self._batch_size
          ):
              for model_input_instance, result in zip(
                  batch, self._predict_instances(batch)
              ):
                  self._maybe_print_to_console_and_file(
                      index, result, str(model_input_instance)
                  )
                  index = index + 1
      else:
          for batch_json in lazy_groups_of(
              self._get_json_data(), self._batch_size
          ):
              for model_input_json, result in zip(
                  batch_json, self._predict_json(batch_json)
              ):
                  self._maybe_print_to_console_and_file(
                      index, result, json.dumps(model_input_json)
                  )
                  index = index + 1
  
      if self._output_file is not None:
          self._output_file.close()
  
imports: from typing import List, Iterator, Optional
  import argparse
  import sys
  import json
  from allennlp.commands.subcommand import Subcommand
  from allennlp.common import logging
  from allennlp.common.checks import check_for_gpu, ConfigurationError
  from allennlp.common.file_utils import cached_path, open_compressed
  from allennlp.common.util import lazy_groups_of
  from allennlp.data.dataset_readers import MultiTaskDatasetReader
  from allennlp.models.archival import load_archive
  from allennlp.predictors.predictor import Predictor, JsonDict
  from allennlp.data import Instance
label_desc: Use image node_id 7 for calling the _PredictManager obj's underlying member method code with example usage: obj.run() without return types