code: def get_batch_commands_new(filename, n_per_job=1):
      """Print the commands needed to run the given batch data file headless
  
      filename - the name of a Batch_data.h5 file. The file may (but need not) group image sets.
  
      You can explicitly set the batch size with --images-per-batch, but note that
      it will override existing groupings, so use with caution
  
      The output assumes that the executable, "CellProfiler", can be used
      to run the command from the shell. Alternatively, the output could be
      run through a utility such as "sed":
  
      CellProfiler --get-batch-commands Batch_data.h5 | sed s/CellProfiler/farm_job.sh/
      """
      path = os.path.expanduser(filename)
  
      m = Measurements(filename=path, mode="r")
  
      image_numbers = m.get_image_numbers()
  
      grouping_tags = m.get_grouping_tags_only()
  
      if n_per_job != 1 or grouping_tags == []:
          # One of two things is happening:
          # 1) We've manually set a batch size, and we should always obey it, even if there was grouping
          # 2) There was no grouping so our only choice is to use -f -l
          for i in range(0, len(image_numbers), n_per_job):
              first = image_numbers[i]
              last = image_numbers[
                  min(i + n_per_job - 1, len(image_numbers) - 1)
              ]
              print(
                  "CellProfiler -c -r -p %s -f %d -l %d"
                  % (filename, first, last)
              )
  
      else:  # We have grouping enabled and haven't overriden it
          groupings = m.get_groupings(grouping_tags)
          for grouping in groupings:
              group_string = ",".join(
                  [
                      "%s=%s" % (k, v)
                      for k, v in list(grouping[0].items())
                  ]
              )
  
              print(
                  "CellProfiler -c -r -p %s -g %s"
                  % (filename, group_string)
              )
  
      return
  
imports: import io
  import json
  import logging
  import logging.config
  import optparse
  import os
  import os.path
  import re
  import sys
  import tempfile
  import urllib.parse
  import h5py
  import matplotlib
  import numpy
  import pkg_resources
  from cellprofiler_core.constants.measurement import EXPERIMENT
  from cellprofiler_core.constants.measurement import GROUP_INDEX
  from cellprofiler_core.constants.measurement import GROUP_NUMBER
  from cellprofiler_core.constants.measurement import IMAGE
  from cellprofiler_core.constants.pipeline import M_PIPELINE, EXIT_STATUS
  from cellprofiler_core.measurement import Measurements
  from cellprofiler_core.object import ObjectSet
  from cellprofiler_core.pipeline import LoadException
  from cellprofiler_core.pipeline import Pipeline
  from cellprofiler_core.preferences import get_image_set_file
  from cellprofiler_core.preferences import get_temporary_directory
  from cellprofiler_core.preferences import set_conserve_memory
  from cellprofiler_core.preferences import set_force_bioformats
  from cellprofiler_core.preferences import set_allow_schema_write
  from cellprofiler_core.preferences import set_always_continue
  from cellprofiler_core.preferences import set_awt_headless
  from cellprofiler_core.preferences import set_data_file
  from cellprofiler_core.preferences import set_default_image_directory
  from cellprofiler_core.preferences import set_default_output_directory
  from cellprofiler_core.preferences import set_headless
  from cellprofiler_core.preferences import set_image_set_file
  from cellprofiler_core.preferences import set_plugin_directory
  from cellprofiler_core.preferences import set_temporary_directory
  from cellprofiler_core.preferences import set_widget_inspector
  from cellprofiler_core.utilities.core.workspace import is_workspace_file
  from cellprofiler_core.utilities.hdf5_dict import HDF5FileList
  from cellprofiler_core.utilities.java import start_java, stop_java
  from cellprofiler_core.utilities.measurement import load_measurements
  from cellprofiler_core.utilities.zmq import join_to_the_boundary
  from cellprofiler_core.worker import aw_parse_args
  from cellprofiler_core.worker import main
  from cellprofiler_core.workspace import Workspace
  from cellprofiler_core.reader import activate_readers
label_desc: Use image node_id 9 for calling a global function with example usage: get_batch_commands_new(filename, n_per_job) without return types