code: def get_coordinator_address(cls) -> str:
      # Examples of orte_uri:
      # 1531576320.0;tcp://10.96.0.1,10.148.0.1,10.108.0.1:34911
      # 1314521088.0;tcp6://[fe80::b9b:ac5d:9cf0:b858,2620:10d:c083:150e::3000:2]:43370
      orte_uri = os.environ[_ORTE_URI]
      job_id_str = orte_uri.split(".", maxsplit=1)[0]
      # The jobid is always a multiple of 2^12, let's divide it by 2^12
      # to reduce likelihood of port conflict between jobs
      job_id = int(job_id_str) // 2**12
      # Pick port in ephemeral range [(65535 - 2^12 + 1), 65535]
      port = job_id % 2**12 + (65535 - 2**12 + 1)
      launcher_ip_match = re.search(
          r"tcp://(.+?)[,:]|tcp6://\[(.+?)[,\]]", orte_uri
      )
      if launcher_ip_match is None:
          raise RuntimeError(
              "Could not parse coordinator IP address from Open MPI environment."
          )
      launcher_ip = next(
          i for i in launcher_ip_match.groups() if i is not None
      )
      return f"{launcher_ip}:{port}"
  
file_path: jax/jax/_src/clusters/ompi_cluster.py
imports: from __future__ import annotations
  import os
  import re
  from jax._src import clusters
label_desc: Use image node_id 2 for calling the OmpiCluster obj's underlying member method code with example usage: obj.get_coordinator_address(cls) and returns: launcher_ip, str, port