code: def initialize(job_addresses, num_processes, process_id):
      if job_addresses and "," in job_addresses:
          # When user provide all the job addresses, we will split and get the
          # first one, which is the coordinator.
          job_addresses = job_addresses.split(",")
          # Do a sanity check to make sure the number of addresses also match
          # the num_processes.
          if num_processes is not None and num_processes != len(
              job_addresses
          ):
              raise ValueError(
                  f"The provided job_addresses {job_addresses} has "
                  f"{len(job_addresses)} jobs, but num_processes is "
                  f"{num_processes}"
              )
          corrdinator_address = job_addresses[0]
      else:
          corrdinator_address = job_addresses
  
      jax.distributed.initialize(
          corrdinator_address=corrdinator_address,
          num_processes=num_processes,
          process_id=process_id,
      )
  
file_path: keras/keras/backend/jax/distribution_lib.py
imports: import jax
  import numpy
  from keras.utils import jax_utils
label_desc: Use image node_id 5 for calling a global function with example usage: initialize(job_addresses, num_processes, process_id) without return types