def main_run(self):
# # # # Initial Executor object
__pool = AdapterPool(
strategy=ProcessPoolStrategy(pool_size=self.__Executor_Number,
tasks_size=self.__Executor_Number))
# __pool = AdapterPool(strategy=ThreadPoolStrategy(pool_size=self.__Executor_Number, tasks_size=self.__Executor_Number))
# __pool = AdapterPool(strategy=GreenThreadPoolStrategy(pool_size=self.__Executor_Number, tasks_size=self.__Executor_Number))
__result = None
with __pool as pool:
# # # # Running Pool
# pool.apply(function=self.__Example_Target.target_function, index=f"test_{random.randrange(10,20)}")
# pool.async_apply(function=self.__Example_Target.target_function, kwargs={"index": f"test_{random.randrange(10,20)}"})
pool.map(function=self.__Example_Target.target_function,
args_iter=("index_1", "index_2.2", "index_3"))
# pool.map_by_args(function=self.__Example_Target.target_function, args_iter=[("index_1", "index_2.2"), ("index_3",), (1, 2, 3)])
# # # # Get result
__result = pool.get_result()
print("Result: ", __result)
def adapter_pool() -> AdapterPool:
set_mode(RunningMode.Concurrent)
return AdapterPool(strategy=ThreadPoolStrategy(
pool_size=_Worker_Pool_Size))