code: def get_processing_dependencies(
      dependency_args: List[List[str]],
  ) -> List[str]:
      """Get the Processing job dependencies from the processor run kwargs
  
      Args:
          dependency_args: A list of dependency args from processor.run()
      Returns:
          List[str]: A list of code dependencies for the job
      """
  
      dependencies = []
      for arg in dependency_args:
          if arg:
              dependencies += arg
  
      return dependencies
  
imports: from __future__ import absolute_import
  import inspect
  import logging
  from functools import wraps
  from pathlib import Path
  from typing import List, Sequence, Union, Set, TYPE_CHECKING, Optional
  import hashlib
  from urllib.parse import unquote, urlparse
  from contextlib import contextmanager
  from _hashlib import HASH
  from sagemaker.utils import base_from_name
  from sagemaker.workflow.parameters import Parameter
  from sagemaker.workflow.pipeline_context import _StepArguments, _PipelineConfig
  from sagemaker.workflow.entities import Entity, RequestType
  from sagemaker.workflow.pipeline_definition_config import PipelineDefinitionConfig
label_desc: Use image node_id 5 for calling a global function with example usage: get_processing_dependencies(dependency_args) and returns: dependencies