class_docstr: Each experiment has different configurations or algorithms.
  An experiment can have multiple runs.
  
  Keyword Arguments:
      name (str, optional): name of the experiment
      python_file (str, optional): path of the Python file that
          created the experiment
      comment (str, optional): a short description of the experiment
      writers (Set[str], optional): list of writers to write stat to
      ignore_callers: (Set[str], optional): list of files to ignore when
          automatically determining ``python_file``
      tags (Set[str], optional): Set of tags for experiment
code: def finish(self, status: str, details: any = None):
      if not self.is_started:
          return
  
      self.is_started = False
      if self.is_worker:
          return
  
      if not self.is_evaluate:
          with open(str(self.run.run_log_path), "a") as f:
              end_time = time.time()
              data = json.dumps(
                  {
                      "status": status,
                      "rank": self.run.distributed_rank,
                      "details": details,
                      "time": end_time,
                  },
                  indent=None,
              )
              f.write(data + "\n")
  
      tracker().finish_loop()
  
      if self.app_experiment is not None:
          self.app_experiment.status(
              self.run.distributed_rank, status, details, end_time
          )
  
imports: import json
  import os
  import pathlib
  import time
  from typing import Optional, Set, Dict, Union, TYPE_CHECKING
  from labml import logger
  from labml.logger import Text
  from labml.utils import get_caller_file
  from labml.utils.git_info import get_git_status
  from labml.utils.notice import labml_notice
  from ..app.dynamic import DynamicUpdateHandler
  from ..configs.base import Configs
  from ..configs.dynamic_hyperparam import DynamicHyperParam
  from ..configs.processor import ConfigProcessor, FileConfigsSaver
  from ..experiment.experiment_run import Run
  from ..experiment.watcher import ExperimentWatcher
  from ..lab import lab_singleton
  from ..monitor import monitor_singleton
  from ..tracker import tracker_singleton
  from ..util import is_ipynb
label_desc: Use image node_id 7 for calling the Experiment obj's underlying member method code with example usage: obj.finish(status, details) without return types