class_docstr: Implementation of ``ClientAlgoStats`` to allow federated learning with MONAI bundle configurations.
  
  Args:
      bundle_root: directory path of the bundle.
      config_train_filename: bundle training config path relative to bundle_root. Can be a list of files;
          defaults to "configs/train.json". only useful when `workflow` is None.
      config_filters_filename: filter configuration file. Can be a list of files; defaults to `None`.
      data_stats_transform_list: transforms to apply for the data stats result.
      histogram_only: whether to only compute histograms. Defaults to False.
      workflow: the bundle workflow to execute, usually it's training, evaluation or inference.
          if None, will create an `ConfigWorkflow` internally based on `config_train_filename`.
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docstr: Initialize routine to parse configuration files and extract main components such as trainer, evaluator, and filters.
  
  Args:
      extra: Dict with additional information that should be provided by FL system,
          i.e., `ExtraItems.CLIENT_NAME` and `ExtraItems.APP_ROOT`.
docstr_tok: ["Initialize","routine","to","parse","configuration","files","and","extract","main","components","such","as","trainer",",","evaluator",",","and","filters",".","Args",":","extra",":","Dict","with","additional","information","that","should","be","provided","by","FL","system",",","i.e.",",","`","ExtraItems.CLIENT_NAME","`","and","`","ExtraItems.APP_ROOT","`","."]
code: def initialize(self, extra=None):
      """
      Initialize routine to parse configuration files and extract main components such as trainer, evaluator, and filters.
  
      Args:
          extra: Dict with additional information that should be provided by FL system,
              i.e., `ExtraItems.CLIENT_NAME` and `ExtraItems.APP_ROOT`.
  
      """
      if extra is None:
          extra = {}
      self.client_name = extra.get(ExtraItems.CLIENT_NAME, "noname")
      self.logger.info(f"Initializing {self.client_name} ...")
  
      # FL platform needs to provide filepath to configuration files
      self.app_root = extra.get(ExtraItems.APP_ROOT, "")
      self.bundle_root = os.path.join(self.app_root, self.bundle_root)
  
      if self.workflow is None:
          config_train_files = self._add_config_files(
              self.config_train_filename
          )
          self.workflow = ConfigWorkflow(
              config_file=config_train_files,
              meta_file=None,
              logging_file=None,
              workflow_type="train",
          )
      self.workflow.initialize()
      self.workflow.bundle_root = self.bundle_root
      # initialize the workflow as the content changed
      self.workflow.initialize()
  
      config_filter_files = self._add_config_files(
          self.config_filters_filename
      )
      filter_parser = ConfigParser()
      if len(config_filter_files) > 0:
          filter_parser.read_config(config_filter_files)
          # Get filters
          self.post_statistics_filters = (
              filter_parser.get_parsed_content(
                  FiltersType.POST_STATISTICS_FILTERS,
                  default=ConfigItem(
                      None, FiltersType.POST_STATISTICS_FILTERS
                  ),
              )
          )
      self.logger.info(f"Initialized {self.client_name}.")
  
imports: from __future__ import annotations
  import os
  import time
  from collections.abc import Mapping, MutableMapping
  from typing import Any, cast
  import torch
  import torch.distributed
  from monai.apps.auto3dseg.data_analyzer import DataAnalyzer
  from monai.apps.utils import get_logger
  from monai.auto3dseg import SegSummarizer
  from monai.bundle import BundleWorkflow, ConfigComponent, ConfigItem, ConfigParser, ConfigWorkflow
  from monai.engines import SupervisedEvaluator, SupervisedTrainer, Trainer
  from monai.fl.client import ClientAlgo, ClientAlgoStats
  from monai.fl.utils.constants import ExtraItems, FiltersType, FlPhase, FlStatistics, ModelType, WeightType
  from monai.fl.utils.exchange_object import ExchangeObject
  from monai.networks.utils import copy_model_state, get_state_dict
  from monai.utils import min_version, require_pkg
  from monai.utils.enums import DataStatsKeys
label_desc: Use image node_id 2 for calling the MonaiAlgoStats obj's underlying member method code with example usage: obj.initialize(extra) without return types