code: def get_default_profiler_processing_job(
      instance_type=None, volume_size_in_gb=None
  ):
      """Return the default profiler processing job (a rule) with a unique name.
  
      Returns:
          sagemaker.debugger.ProfilerRule: The instance of the built-in ProfilerRule.
  
      """
      default_rule = DetailedProfilerProcessingJobConfig()
      custom_name = name_from_base(default_rule.rule_name)
      return ProfilerRule.sagemaker(
          default_rule,
          name=custom_name,
          instance_type=instance_type,
          volume_size_in_gb=volume_size_in_gb,
      )
  
imports: from __future__ import absolute_import
  from abc import ABC
  from typing import Union, Optional, List, Dict
  import attr
  import smdebug_rulesconfig
  from sagemaker import image_uris
  from sagemaker.utils import build_dict, name_from_base
  from sagemaker.workflow.entities import PipelineVariable
  from sagemaker.debugger.profiler_constants import DETAIL_PROF_PROCESSING_DEFAULT_INSTANCE_TYPE, DETAIL_PROF_PROCESSING_DEFAULT_VOLUME_SIZE
label_desc: Use image node_id 2 for calling a global function with example usage: get_default_profiler_processing_job(instance_type, volume_size_in_gb) and returns: ProfilerRule