code: def __init__(
      self,
      predictor,
      input_file,
      output_file,
      batch_size,
      print_to_console,
      has_dataset_reader,
  ):
      self._predictor = predictor
      self._input_file = input_file
      if output_file is not None:
          self._output_file = open(output_file, "w")
      else:
          self._output_file = None
      self._batch_size = batch_size
      self._print_to_console = print_to_console
      if has_dataset_reader:
          self._dataset_reader = (
              predictor._dataset_reader
          )  # pylint: disable=protected-access
      else:
          self._dataset_reader = None
  
imports: from __future__ import absolute_import
  from __future__ import print_function
  import argparse
  import sys
  import json
  from allennlp.commands.subcommand import Subcommand
  from allennlp.common.checks import check_for_gpu, ConfigurationError
  from allennlp.common.util import lazy_groups_of
  from allennlp.models.archival import load_archive
  from allennlp.predictors.predictor import Predictor, JsonDict
  from allennlp.data import Instance
  from io import open
label_desc: Use image node_id 1 to create a new _PredictManager object from inherited base classes: object with example: obj = _PredictManager(predictor, input_file, output_file, batch_size, print_to_console, has_dataset_reader)