code: def fit(self, X, y=None):
      w = get_worker()
      dsk_lock = Lock(self.lock_name, client=w.client)
      dsk_counter = Variable(self.counter_name, client=w.client)
      dsk_killed_workers = Variable(
          self.killed_workers_name, client=w.client
      )
  
      for e in list(w.executing):
          should_die = False
          t = literal_eval(e)
          with dsk_lock:
              c = dsk_counter.get()
              dsk_counter.set(c + 1)
              killed_workers = dsk_killed_workers.get()
              if c > self.min_complete and t not in killed_workers:
                  killed_workers[t] = True
                  should_die = True
                  dsk_killed_workers.set(killed_workers)
  
          if should_die:
              os.kill(os.getpid(), 9)
      return self
  
imports: import os
  from ast import literal_eval
  import numpy
  from distributed import Lock, Variable, get_worker
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.utils.validation import _num_samples, check_array
label_desc: Use image node_id 2 for calling the AsCompletedEstimator obj's underlying member method code with example usage: obj.fit(X, y) and returns: self