class_docstr: Fuses linear chains of compatible physical operators.
class_docstr_tok: ["Fuses","linear","chains","of","compatible","physical","operators","."]
code: def _can_merge_target_max_block_size(
      self,
      up_target_max_block_size: Optional[int],
      down_target_max_block_size: Optional[int],
  ):
      # If the upstream op overrode the target max block size, only fuse if
      # they are equal.
      if up_target_max_block_size is not None:
          if down_target_max_block_size is None:
              down_target_max_block_size = (
                  DataContext.get_current().target_max_block_size
              )
          if up_target_max_block_size != down_target_max_block_size:
              return False
      return True
  
imports: from typing import List, Optional, Tuple
  from ray.data._internal.compute import get_compute, is_task_compute
  from ray.data._internal.execution.interfaces import PhysicalOperator, RefBundle, TaskContext
  from ray.data._internal.execution.operators.actor_pool_map_operator import ActorPoolMapOperator
  from ray.data._internal.execution.operators.base_physical_operator import AllToAllOperator
  from ray.data._internal.execution.operators.map_operator import MapOperator
  from ray.data._internal.execution.operators.task_pool_map_operator import TaskPoolMapOperator
  from ray.data._internal.logical.interfaces import PhysicalPlan, Rule
  from ray.data._internal.logical.operators.all_to_all_operator import AbstractAllToAll, RandomShuffle, Repartition
  from ray.data._internal.logical.operators.map_operator import AbstractUDFMap
  from ray.data._internal.stats import StatsDict
  from ray.data.context import DataContext
label_desc: Use image node_id 7 for calling the OperatorFusionRule obj's underlying member method code with example usage: obj._can_merge_target_max_block_size(up_target_max_block_size, down_target_max_block_size) and returns: True, False