class_docstr: Disk storage for stdout / stderr of driver script logs.
code: def tail_logs(self, job_id: str) -> Iterator[List[str]]:
      return file_tail_iterator(self.get_log_file_path(job_id))
  
imports: import asyncio
  import copy
  import json
  import logging
  import os
  import psutil
  import random
  import signal
  import string
  import subprocess
  import sys
  import time
  import traceback
  from asyncio.tasks import FIRST_COMPLETED
  from collections import deque
  from typing import Any, Dict, Iterator, List, Optional, Tuple, Union
  from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy, SchedulingStrategyT
  import ray
  from ray._private.gcs_utils import GcsAioClient
  from ray._private.utils import run_background_task
  import ray._private.ray_constants
  from ray._private.runtime_env.constants import RAY_JOB_CONFIG_JSON_ENV_VAR
  from ray.actor import ActorHandle
  from ray.dashboard.consts import RAY_JOB_ALLOW_DRIVER_ON_WORKER_NODES_ENV_VAR, DEFAULT_JOB_START_TIMEOUT_SECONDS, RAY_JOB_START_TIMEOUT_SECONDS_ENV_VAR
  from ray.dashboard.modules.job.common import JOB_ID_METADATA_KEY, JOB_NAME_METADATA_KEY, JOB_ACTOR_NAME_TEMPLATE, JOB_LOGS_PATH_TEMPLATE, SUPERVISOR_ACTOR_RAY_NAMESPACE, JobInfo, JobInfoStorageClient
  from ray.dashboard.modules.job.utils import file_tail_iterator
  from ray.exceptions import ActorUnschedulableError, RuntimeEnvSetupError
  from ray.job_submission import JobStatus
  from ray._private.event.event_logger import get_event_logger
  from ray.core.generated.event_pb2 import Event
label_desc: Use image node_id 2 for calling the JobLogStorageClient obj's underlying member method code with example usage: obj.tail_logs(job_id) and returns: file_tail_iterator