code: def patch_ray_remote(condition, callback):
      original_ray_remote = ray.remote
  
      def ray_remote_override(*args, **kwargs):
          def wrapper(fn):
              remote_fn = original_ray_remote(*args, **kwargs)(fn)
              if condition(fn):
                  original_remote_options = remote_fn.options
  
                  def options(**task_options):
                      callback(task_options)
                      original_options = original_remote_options(
                          **task_options
                      )
                      return original_options
  
                  remote_fn.options = options
              return remote_fn
  
          return wrapper
  
      ray.remote = ray_remote_override
      return original_ray_remote
  
imports: import random
  from collections import defaultdict
  import numpy
  import pandas
  import pyarrow
  import pytest
  import ray
  from ray.data import Dataset
  from ray.data._internal.planner.exchange.push_based_shuffle_task_scheduler import PushBasedShuffleTaskScheduler
  from ray.data._internal.sort import SortKey
  from ray.data.block import BlockAccessor
  from ray.data.context import DataContext
  from ray.data.tests.conftest import *
  from ray.data.tests.util import extract_values
  from ray.tests.conftest import *
label_desc: Use image node_id 13 for calling a global function with example usage: patch_ray_remote(condition, callback) and returns: original_ray_remote, wrapper, remote_fn, original_options