class_docstr: Fuses linear chains of compatible physical operators.
class_docstr_tok: ["Fuses","linear","chains","of","compatible","physical","operators","."]
code: def _update_output_depes(self, op: PhysicalOperator) -> None:
      for input in op._input_dependencies:
          input._output_dependencies.append(op)
          self._update_output_depes(input)
  
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 3 for calling the OperatorFusionRule obj's underlying member method code with example usage: obj._update_output_depes(op) without return types