b1f81badfd
Match the requirements for taskflow with the openstack requirements (note the upstream requirements are missing 'futures' and 'networkx') and update the new hacking violations that were detected due to the hacking requirement version bump. Change-Id: I8d1326cf2a8b1ea062f5e9aacd0c4f8261c6531a
72 lines
2.2 KiB
Python
72 lines
2.2 KiB
Python
# -*- coding: utf-8 -*-
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# vim: tabstop=4 shiftwidth=4 softtabstop=4
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# 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 sys
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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 taskflow.engines
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from taskflow.patterns import linear_flow as lf
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from taskflow.patterns import unordered_flow as uf
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from taskflow import task
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# This examples shows how LinearFlow and ParallelFlow can be used
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# together to execute calculations in parallel and then use the
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# result for the next task. Adder task is used for all calculations
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# and arguments' bindings are used to set correct parameters to the task.
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class Provider(task.Task):
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def __init__(self, name, *args, **kwargs):
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super(Provider, self).__init__(name=name, **kwargs)
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self._provide = args
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def execute(self):
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return self._provide
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class Adder(task.Task):
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def execute(self, x, y):
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return x + y
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flow = lf.Flow('root').add(
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# x1 = 2, y1 = 3, x2 = 5, x3 = 8
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Provider("provide-adder", 2, 3, 5, 8,
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provides=('x1', 'y1', 'x2', 'y2')),
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uf.Flow('adders').add(
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# z1 = x1+y1 = 5
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Adder(name="add", provides='z1', rebind=['x1', 'y1']),
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# z2 = x2+y2 = 13
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Adder(name="add-2", provides='z2', rebind=['x2', 'y2']),
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),
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# r = z1+z2 = 18
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Adder(name="sum-1", provides='r', rebind=['z1', 'z2']))
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result = taskflow.engines.run(flow, engine_conf='parallel')
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print result
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