e3cca6cd18
... according to the versions currently supported. Change-Id: Ibc60bf2bb13a57625d6afd045be88d988f4b24a9 Signed-off-by: Takashi Kajinami <kajinamit@oss.nttdata.com>
79 lines
2.6 KiB
Python
79 lines
2.6 KiB
Python
# Copyright (C) 2012-2013 Yahoo! Inc. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import logging
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import os
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import random
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import sys
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import time
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logging.basicConfig(level=logging.ERROR)
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top_dir = os.path.abspath(os.path.join(os.path.dirname(__file__),
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os.pardir,
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os.pardir))
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sys.path.insert(0, top_dir)
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import futurist
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from taskflow import engines
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from taskflow.patterns import unordered_flow as uf
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from taskflow import task
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from taskflow.utils import threading_utils as tu
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# INTRO: in this example we create 2 dummy flow(s) with a 2 dummy task(s), and
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# run it using a shared thread pool executor to show how a single executor can
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# be used with more than one engine (sharing the execution thread pool between
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# them); this allows for saving resources and reusing threads in situations
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# where this is benefical.
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class DelayedTask(task.Task):
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def __init__(self, name):
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super().__init__(name=name)
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self._wait_for = random.random()
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def execute(self):
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print(f"Running '{self.name}' in thread '{tu.get_ident()}'")
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time.sleep(self._wait_for)
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f1 = uf.Flow("f1")
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f1.add(DelayedTask("f1-1"))
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f1.add(DelayedTask("f1-2"))
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f2 = uf.Flow("f2")
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f2.add(DelayedTask("f2-1"))
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f2.add(DelayedTask("f2-2"))
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# Run them all using the same futures (thread-pool based) executor...
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with futurist.ThreadPoolExecutor() as ex:
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e1 = engines.load(f1, engine='parallel', executor=ex)
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e2 = engines.load(f2, engine='parallel', executor=ex)
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iters = [e1.run_iter(), e2.run_iter()]
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# Iterate over a copy (so we can remove from the source list).
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cloned_iters = list(iters)
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while iters:
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# Run a single 'step' of each iterator, forcing each engine to perform
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# some work, then yield, and repeat until each iterator is consumed
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# and there is no more engine work to be done.
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for it in cloned_iters:
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try:
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next(it)
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except StopIteration:
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try:
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iters.remove(it)
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except ValueError:
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pass
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