class_docstr: Shuffle plugin for the scheduler
  This coordinates the individual worker plugins to ensure correctness
  and collects heartbeat messages for the dashboard.
  See Also
  --------
  ShuffleWorkerPlugin
class_docstr_tok: ["Shuffle","plugin","for","the","scheduler","This","coordinates","the","individual","worker","plugins","to","ensure","correctness","and","collects","heartbeat","messages","for","the","dashboard",".","See","Also","--","--","--","--","ShuffleWorkerPlugin"]
code: def _set_restriction(self, ts: TaskState, worker: str) -> None:
      if (
          ts.annotations
          and "shuffle_original_restrictions" in ts.annotations
      ):
          # This may occur if multiple barriers share the same output task,
          # e.g. in a hash join.
          return
      if ts.annotations is None:
          ts.annotations = dict()
      ts.annotations["shuffle_original_restrictions"] = (
          ts.worker_restrictions.copy()
          if ts.worker_restrictions is not None
          else None
      )
      self.scheduler.set_restrictions({ts.key: {worker}})
  
imports: from __future__ import annotations
  import contextlib
  import itertools
  import logging
  from collections import defaultdict
  from typing import TYPE_CHECKING, Any
  from dask.typing import Key
  from distributed.diagnostics.plugin import SchedulerPlugin
  from distributed.metrics import time
  from distributed.protocol.pickle import dumps
  from distributed.protocol.serialize import ToPickle
  from distributed.shuffle._core import SchedulerShuffleState, ShuffleId, ShuffleRunSpec, ShuffleSpec, barrier_key, id_from_key
  from distributed.shuffle._worker_plugin import ShuffleWorkerPlugin
  from distributed.utils import log_errors
label_desc: Use image node_id 11 for calling the ShuffleSchedulerPlugin obj's underlying member method code with example usage: obj._set_restriction(ts, worker) without return types