code: def batch_metrics_logger(run_id):
      """
      Context manager that yields a BatchMetricsLogger object, which metrics can be logged against.
      The BatchMetricsLogger keeps metrics in a list until it decides they should be logged, at
      which point the accumulated metrics will be batch logged. The BatchMetricsLogger ensures
      that logging imposes no more than a 10% overhead on the training, where the training is
      measured by adding up the time elapsed between consecutive calls to record_metrics.
  
      If logging a batch fails, a warning will be emitted and subsequent metrics will continue to
      be collected.
  
      Once the context is closed, any metrics that have yet to be logged will be logged.
  
      Args:
          run_id: ID of the run that the metrics will be logged to.
      """
  
      batch_metrics_logger = BatchMetricsLogger(run_id)
      yield batch_metrics_logger
      batch_metrics_logger.flush()
  
imports: import contextlib
  import inspect
  import logging
  import time
  from typing import List
  import mlflow
  from mlflow.entities import Metric
  from mlflow.tracking.client import MlflowClient
  from mlflow.utils.validation import MAX_METRICS_PER_BATCH
  from mlflow.utils.autologging_utils.client import MlflowAutologgingQueueingClient
  from mlflow.utils.autologging_utils.events import AutologgingEventLogger
  from mlflow.utils.autologging_utils.logging_and_warnings import set_mlflow_events_and_warnings_behavior_globally, set_non_mlflow_warnings_behavior_for_current_thread
  from mlflow.utils.autologging_utils.safety import ExceptionSafeAbstractClass, ExceptionSafeClass, PatchFunction, exception_safe_function_for_class, is_testing, picklable_exception_safe_function, revert_patches, safe_patch, update_wrapper_extended, with_managed_run
  from mlflow.utils.autologging_utils.versioning import FLAVOR_TO_MODULE_NAME_AND_VERSION_INFO_KEY, get_min_max_version_and_pip_release, is_flavor_supported_for_associated_package_versions
label_desc: Use image node_id 4 for calling a global function with example usage: batch_metrics_logger(run_id) without return types