Python futures.FIRST_EXCEPTION属性代码示例

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def _create_and_install_waiters(fs, return_when):
        if return_when == _AS_COMPLETED:
            waiter = _AsCompletedWaiter()
        elif return_when == FIRST_COMPLETED:
            waiter = _FirstCompletedWaiter()
        else:
            pending_count = sum(
                    f._state not in [CANCELLED_AND_NOTIFIED, FINISHED]
                    for f in fs)

            if return_when == FIRST_EXCEPTION:
                waiter = _AllCompletedWaiter(pending_count,
                                             stop_on_exception=True)
            elif return_when == ALL_COMPLETED:
                waiter = _AllCompletedWaiter(pending_count,
                                             stop_on_exception=False)
            else:
                raise ValueError("Invalid return condition: %r" % return_when)

        for f in fs:
            f._waiters.append(waiter)

        return waiter 

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def test_first_exception(self):
        future1 = self.executor.submit(mul, 2, 21)
        future2 = self.executor.submit(self.wait_and_raise, 1.5)
        future3 = self.executor.submit(time.sleep, 3)

        def cb_done(f):
            _executor_mixin._test_event.set()
        future1.add_done_callback(cb_done)

        finished, pending = futures.wait([future1, future2, future3],
                                         return_when=futures.FIRST_EXCEPTION)

        assert _executor_mixin._test_event.is_set()

        assert set([future1, future2]) == finished
        assert set([future3]) == pending

        _executor_mixin._test_event.clear() 

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def wait_tasks_or_abort(futures, timeout=60, kill_switch_ev=None):
        try:
            LazySingletonTasksCoordinator.wait_tasks(futures, return_when=FIRST_EXCEPTION, raise_exceptions=True)
        except Exception as e:
            if kill_switch_ev is not None:
                # Used when we want to keep both raise the exception and wait for all tasks to finish
                kill_switch_ev.set()
                LazySingletonTasksCoordinator.wait_tasks(futures, return_when=ALL_COMPLETED,
                                                         raise_exceptions=False, timeout=timeout)
            raise e 

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def run(self, funcs):
        """Run a set of functions in parallel, returning their results.
        Make sure any function you pass exits with a reasonable timeout. If it
        doesn't return within the timeout or the result is ignored due an exception
        in a separate thread it will continue to stick around until it finishes,
        including blocking process exit.
        Args:
            funcs: An iterable of functions or iterable of args to functools.partial.
        Returns:
            A list of return values with the values matching the order in funcs.
        Raises:
            Propagates the first exception encountered in one of the functions.
        """
        funcs = [f if callable(f) else functools.partial(*f) for f in funcs]
        if len(funcs) == 1:    # Ignore threads if it's not needed.
            return [funcs[0]()]
        if len(funcs) > self._workers:    # Lazy init and grow as needed.
            self.shutdown()
            self._workers = len(funcs)
            self._executor = futures.ThreadPoolExecutor(self._workers)
        futs = [self._executor.submit(f) for f in funcs]
        done, not_done = futures.wait(futs, self._timeout, futures.FIRST_EXCEPTION)
        # Make sure to propagate any exceptions.
        for f in done:
            if not f.cancelled() and f.exception() is not None:
                if not_done:
                    # If there are some calls that haven't finished, cancel and recreate
                    # the thread pool. Otherwise we may have a thread running forever
                    # blocking parallel calls.
                    for nd in not_done:
                        nd.cancel()
                    self.shutdown(False)    # Don't wait, they may be deadlocked.
                raise f.exception()
        # Either done or timed out, so don't wait again.
        return [f.result(timeout=0) for f in futs] 

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def test_first_exception(self):
        future1 = self.executor.submit(mul, 2, 21)
        future2 = self.executor.submit(sleep_and_raise, 1.5)
        future3 = self.executor.submit(time.sleep, 3)

        finished, pending = futures.wait(
                [future1, future2, future3],
                return_when=futures.FIRST_EXCEPTION)

        self.assertEqual(set([future1, future2]), finished)
        self.assertEqual(set([future3]), pending) 

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def test_first_exception_some_already_complete(self):
        future1 = self.executor.submit(divmod, 21, 0)
        future2 = self.executor.submit(time.sleep, 1.5)

        finished, pending = futures.wait(
                [SUCCESSFUL_FUTURE,
                 CANCELLED_FUTURE,
                 CANCELLED_AND_NOTIFIED_FUTURE,
                 future1, future2],
                return_when=futures.FIRST_EXCEPTION)

        self.assertEqual(set([SUCCESSFUL_FUTURE,
                              CANCELLED_AND_NOTIFIED_FUTURE,
                              future1]), finished)
        self.assertEqual(set([CANCELLED_FUTURE, future2]), pending) 

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def test_first_exception_one_already_failed(self):
        future1 = self.executor.submit(time.sleep, 2)

        finished, pending = futures.wait(
                 [EXCEPTION_FUTURE, future1],
                 return_when=futures.FIRST_EXCEPTION)

        self.assertEqual(set([EXCEPTION_FUTURE]), finished)
        self.assertEqual(set([future1]), pending) 

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def run(self, funcs):
    """Run a set of functions in parallel, returning their results.

    Make sure any function you pass exits with a reasonable timeout. If it
    doesn't return within the timeout or the result is ignored due an exception
    in a separate thread it will continue to stick around until it finishes,
    including blocking process exit.

    Args:
      funcs: An iterable of functions or iterable of args to functools.partial.

    Returns:
      A list of return values with the values matching the order in funcs.

    Raises:
      Propagates the first exception encountered in one of the functions.
    """
    funcs = [f if callable(f) else functools.partial(*f) for f in funcs]
    if len(funcs) == 1:  # Ignore threads if it's not needed.
      return [funcs[0]()]
    if len(funcs) > self._workers:  # Lazy init and grow as needed.
      self.shutdown()
      self._workers = len(funcs)
      self._executor = futures.ThreadPoolExecutor(self._workers)
    futs = [self._executor.submit(f) for f in funcs]
    done, not_done = futures.wait(futs, self._timeout, futures.FIRST_EXCEPTION)
    # Make sure to propagate any exceptions.
    for f in done:
      if not f.cancelled() and f.exception() is not None:
        if not_done:
          # If there are some calls that haven't finished, cancel and recreate
          # the thread pool. Otherwise we may have a thread running forever
          # blocking parallel calls.
          for nd in not_done:
            nd.cancel()
          self.shutdown(False)  # Don't wait, they may be deadlocked.
        raise f.exception()
    # Either done or timed out, so don't wait again.
    return [f.result(timeout=0) for f in futs] 

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def test_first_exception_some_already_complete(self):
        future1 = self.executor.submit(divmod, 21, 0)
        future2 = self.executor.submit(time.sleep, 1.5)

        finished, pending = futures.wait([SUCCESSFUL_FUTURE, CANCELLED_FUTURE,
                                          CANCELLED_AND_NOTIFIED_FUTURE,
                                          future1, future2],
                                         return_when=futures.FIRST_EXCEPTION)

        assert set([SUCCESSFUL_FUTURE, CANCELLED_AND_NOTIFIED_FUTURE,
                    future1]) == finished
        assert set([CANCELLED_FUTURE, future2]) == pending 

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def test_first_exception_one_already_failed(self):
        future1 = self.executor.submit(time.sleep, 2)

        finished, pending = futures.wait([EXCEPTION_FUTURE, future1],
                                         return_when=futures.FIRST_EXCEPTION)

        assert set([EXCEPTION_FUTURE]) == finished
        assert set([future1]) == pending 

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def count(self):
        total_partitions = self.__store._store_locator._total_partitions
        job_id = generate_job_id(self.__session_id, tag=RollPair.COUNT)
        job = ErJob(id=job_id,
                    name=RollPair.COUNT,
                    inputs=[self.ctx.populate_processor(self.__store)])
        args = list()
        for i in range(total_partitions):
            partition_input = job._inputs[0]._partitions[i]
            task = ErTask(id=generate_task_id(job_id, i),
                          name=job._name,
                          inputs=[partition_input],
                          job=job)
            args.append(([task], partition_input._processor._command_endpoint))

        futures = self.__command_client.async_call(
                args=args,
                output_types=[ErPair],
                command_uri=CommandURI(f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}'))

        done = wait(futures, return_when=FIRST_EXCEPTION).done

        result = 0
        for future in done:
            pair = future.result()[0]
            result += self.functor_serdes.deserialize(pair._value)

        return result

    # todo:1: move to command channel to utilize batch command 

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def reduce(self, func, output=None, options: dict = None):
        total_partitions = self.__store._store_locator._total_partitions
        job_id = generate_job_id(self.__session_id, tag=RollPair.REDUCE)

        serialized_func = ErFunctor(name=RollPair.REDUCE, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func))
        job = ErJob(id=job_id,
                    name=RollPair.REDUCE,
                    inputs=[self.ctx.populate_processor(self.__store)],
                    functors=[serialized_func])
        args = list()
        for i in range(total_partitions):
            partition_input = job._inputs[0]._partitions[i]
            task = ErTask(id=generate_task_id(job_id, i),
                          name=job._name,
                          inputs=[partition_input],
                          job=job)
            args.append(([task], partition_input._processor._command_endpoint))

        futures = self.__command_client.async_call(
                args=args,
                output_types=[ErPair],
                command_uri=CommandURI(f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}'))

        done = wait(futures, return_when=FIRST_EXCEPTION).done

        result = None
        first = True
        for future in done:
            pair = future.result()[0]
            seq_op_result = self.functor_serdes.deserialize(pair._value)
            if seq_op_result is not None:
                if not first:
                    result = func(result, seq_op_result)
                else:
                    result = seq_op_result
                    first = False

        return result 

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def aggregate(self, zero_value, seq_op, comb_op, output=None, options: dict = None):
        total_partitions = self.__store._store_locator._total_partitions
        job_id = generate_job_id(self.__session_id, tag=RollPair.AGGREGATE)

        serialized_zero_value = ErFunctor(name=RollPair.AGGREGATE, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(zero_value))
        serialized_seq_op = ErFunctor(name=RollPair.AGGREGATE, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(seq_op))
        job = ErJob(id=job_id,
                    name=RollPair.AGGREGATE,
                    inputs=[self.ctx.populate_processor(self.__store)],
                    functors=[serialized_zero_value, serialized_seq_op])
        args = list()
        for i in range(total_partitions):
            partition_input = job._inputs[0]._partitions[i]
            task = ErTask(id=generate_task_id(job_id, i),
                          name=job._name,
                          inputs=[partition_input],
                          job=job)
            args.append(([task], partition_input._processor._command_endpoint))

        futures = self.__command_client.async_call(
                args=args,
                output_types=[ErPair],
                command_uri=CommandURI(f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}'))

        done = wait(futures, return_when=FIRST_EXCEPTION).done

        result = None
        first = True
        for future in done:
            pair = future.result()[0]
            seq_op_result = self.functor_serdes.deserialize(pair._value)
            if not first:
                result = comb_op(result, seq_op_result)
            else:
                result = seq_op_result
                first = False

        return result 

# 需要导入模块: from concurrent import futures [as 别名]
# 或者: from concurrent.futures import FIRST_EXCEPTION [as 别名]
def wait(fs, timeout=None, return_when=ALL_COMPLETED):
        """Wait for the futures in the given sequence to complete.

        Args:
            fs: The sequence of Futures (possibly created by different
                Executors) to wait upon.
            timeout: The maximum number of seconds to wait. If None, then there
                is no limit on the wait time.
            return_when: Indicates when this function should return. The
                options are:

                FIRST_COMPLETED - Return when any future finishes or is
                                cancelled.
                FIRST_EXCEPTION - Return when any future finishes by raising an
                                exception. If no future raises an exception
                                then it is equivalent to ALL_COMPLETED.
                ALL_COMPLETED -   Return when all futures finish or are
                                cancelled.

        Returns:
            A named 2-tuple of sets. The first set, named 'done', contains the
            futures that completed (is finished or cancelled) before the wait
            completed. The second set, named 'not_done', contains uncompleted
            futures.
        """
        with _AcquireFutures(fs):
            done = set(f for f in fs
                       if f._state in [CANCELLED_AND_NOTIFIED, FINISHED])
            not_done = set(fs) - done

            if (return_when == FIRST_COMPLETED) and done:
                return DoneAndNotDoneFutures(done, not_done)
            elif (return_when == FIRST_EXCEPTION) and done:
                if any(f for f in done
                       if not f.cancelled() and f.exception() is not None):
                    return DoneAndNotDoneFutures(done, not_done)

            if len(done) == len(fs):
                return DoneAndNotDoneFutures(done, not_done)

            waiter = _create_and_install_waiters(fs, return_when)

        waiter.event.wait(timeout)
        for f in fs:
            with f._condition:
                f._waiters.remove(waiter)

        done.update(waiter.finished_futures)
        return DoneAndNotDoneFutures(done, set(fs) - done)