code: def __thread_worker(q, host):
      global total_sent, total_done
      hostname, python_binary = host.split(":")
      while True:
          # make sure we are not sending too many ssh connections to the host
          # (if we send too many connections ssh thottling will lock us out)
          while True:
              all_clear = False
  
              worker_lock.acquire()
              try:
                  if hostname not in host_records:
                      host_records[hostname] = []
  
                  if (
                      len(host_records[hostname])
                      < ssh_conn_per_min_limit
                  ):
                      all_clear = True
                  elif (
                      time.time()
                      - host_records[hostname][-ssh_conn_per_min_limit]
                      > 61
                  ):
                      all_clear = True
              finally:
                  worker_lock.release()
  
              # if we are clear to send a new ssh connection then break
              if all_clear:
                  break
  
              # if we are not clear then we sleep and try again
              time.sleep(5)
  
          experiment = q.get()
  
          # if we are not loading from the cache then we note that we have called the host
          cache_dir = "/tmp"
          cache_file = os.path.join(
              cache_dir, __gen_cache_id(experiment) + ".pickle"
          )
          if not os.path.isfile(cache_file):
              worker_lock.acquire()
              try:
                  host_records[hostname].append(time.time())
              finally:
                  worker_lock.release()
  
          # record how many we have sent off for execution
          worker_lock.acquire()
          try:
              total_sent += 1
              __print_status()
          finally:
              worker_lock.release()
  
          __run_remote_experiment(
              experiment,
              hostname,
              cache_dir=cache_dir,
              python_binary=python_binary,
          )
  
          # record how many are finished
          worker_lock.acquire()
          try:
              total_done += 1
              __print_status()
          finally:
              worker_lock.release()
  
          q.task_done()
  
imports: import copy
  import itertools
  import os
  import pickle
  import random
  import subprocess
  import sys
  import time
  from multiprocessing import Pool
  from ..None import __version__, datasets
  from .None import metrics, models
  from threading import Lock, Thread
label_desc: Use image node_id 5 for calling a global function with example usage: __thread_worker(q, host) without return types