class_docstr: A monitor process for monitoring Ray log files.
  
  This class maintains a list of open files and a list of closed log files. We
  can't simply leave all files open because we'll run out of file
  descriptors.
  
  The "run" method of this class will cycle between doing several things:
  1. First, it will check if any new files have appeared in the log
     directory. If so, they will be added to the list of closed files.
  2. Then, if we are unable to open any new files, we will close all of the
     files.
  3. Then, we will open as many closed files as we can that may have new
     lines (judged by an increase in file size since the last time the file
     was opened).
  4. Then we will loop through the open files and see if there are any new
     lines in the file. If so, we will publish them to Ray pubsub.
  
  Attributes:
      ip: The hostname of this machine, for grouping log messages.
      logs_dir: The directory that the log files are in.
      log_filenames: This is the set of filenames of all files in
          open_file_infos and closed_file_infos.
      open_file_infos (list[LogFileInfo]): Info for all of the open files.
      closed_file_infos (list[LogFileInfo]): Info for all of the closed
          files.
      can_open_more_files: True if we can still open more files and
          false otherwise.
      max_files_open: The maximum number of files that can be open.
docstr: Update the list of log files to monitor.
docstr_tok: ["Update","the","list","of","log","files","to","monitor","."]
code: def update_log_filenames(self):
      """Update the list of log files to monitor."""
      monitor_log_paths = []
      # output of user code is written here
      monitor_log_paths += glob.glob(
          f"{self.logs_dir}/worker*[.out|.err]"
      ) + glob.glob(f"{self.logs_dir}/java-worker*.log")
      # segfaults and other serious errors are logged here
      monitor_log_paths += glob.glob(f"{self.logs_dir}/raylet*.err")
      # monitor logs are needed to report autoscaler events
      # TODO(rickyx): remove this after migration.
      if not self.is_autoscaler_v2:
          # We publish monitor logs in autoscaler v1
          monitor_log_paths += glob.glob(f"{self.logs_dir}/monitor.log")
      else:
          # We publish autoscaler events directly in autoscaler v2
          monitor_log_paths += glob.glob(
              f"{self.logs_dir}/events/event_AUTOSCALER.log"
          )
  
      # If gcs server restarts, there can be multiple log files.
      monitor_log_paths += glob.glob(f"{self.logs_dir}/gcs_server*.err")
  
      # runtime_env setup process is logged here
      if RAY_RUNTIME_ENV_LOG_TO_DRIVER_ENABLED:
          monitor_log_paths += glob.glob(
              f"{self.logs_dir}/runtime_env*.log"
          )
      for file_path in monitor_log_paths:
          if (
              os.path.isfile(file_path)
              and file_path not in self.log_filenames
          ):
              worker_match = WORKER_LOG_PATTERN.match(file_path)
              if worker_match:
                  worker_pid = int(worker_match.group(2))
              else:
                  worker_pid = None
              job_id = None
  
              # Perform existence check first because most file will not be
              # including runtime_env. This saves some cpu cycle.
              if "runtime_env" in file_path:
                  runtime_env_job_match = (
                      RUNTIME_ENV_SETUP_PATTERN.match(file_path)
                  )
                  if runtime_env_job_match:
                      job_id = runtime_env_job_match.group(1)
  
              is_err_file = file_path.endswith("err")
  
              self.log_filenames.add(file_path)
              self.closed_file_infos.append(
                  LogFileInfo(
                      filename=file_path,
                      size_when_last_opened=0,
                      file_position=0,
                      file_handle=None,
                      is_err_file=is_err_file,
                      job_id=job_id,
                      worker_pid=worker_pid,
                  )
              )
              log_filename = os.path.basename(file_path)
              logger.info(f"Beginning to track file {log_filename}")
  
imports: import argparse
  import errno
  import glob
  import logging
  import logging.handlers
  import os
  import platform
  import re
  import shutil
  import time
  import traceback
  from typing import Callable, List, Optional, Set
  from ray._raylet import GcsClient
  import ray._private.ray_constants
  import ray._private.services
  import ray._private.utils
  from ray._private.ray_logging import setup_component_logger
label_desc: Use image node_id 4 for calling the LogMonitor obj's underlying member method code with example usage: obj.update_log_filenames() without return types