code: def read_and_translate(
      translator: inference.Translator,
      output_handler: OutputHandler,
      chunk_size: Optional[int],
      input_file: Optional[str] = None,
      input_factors: Optional[List[str]] = None,
      input_is_json: bool = False,
  ) -> None:
      """
      Reads from either a file or stdin and translates each line, calling the output_handler with the result.
  
      :param output_handler: Handler that will write output to a stream.
      :param translator: Translator that will translate each line of input.
      :param chunk_size: The size of the portion to read at a time from the input.
      :param input_file: Optional path to file which will be translated line-by-line if included, if none use stdin.
      :param input_factors: Optional list of paths to files that contain source factors.
      :param input_is_json: Whether the input is in json format.
      """
      if chunk_size is None:
          if translator.max_batch_size == 1:
              # No batching, therefore there is not need to read segments in chunks.
              chunk_size = C.CHUNK_SIZE_NO_BATCHING
          else:
              # Get a constant number of batches per call to Translator.translate.
              chunk_size = (
                  C.CHUNK_SIZE_PER_BATCH_SEGMENT
                  * translator.max_batch_size
              )
      else:
          if chunk_size < translator.max_batch_size:
              logger.warning(
                  "You specified a chunk size (%d) smaller than the max batch size (%d). This will lead to "
                  "a reduction in translation speed. Consider choosing a larger chunk size.",
                  chunk_size,
                  translator.max_batch_size,
              )
  
      logger.info("Translating...")
  
      total_time, total_lines = 0.0, 0
      for chunk in grouper(
          make_inputs(
              input_file, translator, input_is_json, input_factors
          ),
          size=chunk_size,
      ):
          chunk_time = translate(output_handler, chunk, translator)
          total_lines += len(chunk)
          total_time += chunk_time
  
      if total_lines != 0:
          logger.info(
              "Processed %d lines. Total time: %.4f, sec/sent: %.4f, sent/sec: %.4f",
              total_lines,
              total_time,
              total_time / total_lines,
              total_lines / total_time,
          )
      else:
          logger.info("Processed 0 lines.")
  
file_path: sockeye/sockeye/translate.py
imports: import argparse
  import logging
  import sys
  import time
  from contextlib import ExitStack
  from typing import Dict, Generator, List, Optional, Union
  from sockeye.lexicon import load_restrict_lexicon, RestrictLexicon
  from sockeye.log import setup_main_logger
  from sockeye.model import load_models
  from sockeye.output_handler import get_output_handler, OutputHandler
  from sockeye.utils import log_basic_info, check_condition, grouper, smart_open, seed_rngs
  from .None import arguments
  from .None import constants
  from .None import inference
  from .None import utils
label_desc: Use image node_id 4 for calling a global function with example usage: read_and_translate(translator, output_handler, chunk_size, input_file, input_factors, input_is_json) without return types