73 lines
2.1 KiB
Python
73 lines
2.1 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright 2015 Hewlett-Packard Development Company, L.P.
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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 taskflow.engines as engines
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from taskflow.patterns import linear_flow
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from taskflow import task as base
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from taskflow import test
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def sum(x, y):
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return x + y
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multiply = lambda x, y: x * y
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class ReduceFunctorTaskTest(test.TestCase):
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def setUp(self):
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super(ReduceFunctorTaskTest, self).setUp()
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self.flow_store = {
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'a': 1,
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'b': 2,
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'c': 3,
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'd': 4,
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'e': 5,
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}
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def test_sum_array(self):
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expected = self.flow_store.copy()
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expected.update({
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'sum': 15
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})
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requires = self.flow_store.keys()
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provides = 'sum'
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flow = linear_flow.Flow("sum array flow")
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flow.add(base.ReduceFunctorTask(sum, requires=requires,
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provides=provides))
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result = engines.run(flow, store=self.flow_store)
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self.assertDictEqual(expected, result)
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def test_multiply_array(self):
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expected = self.flow_store.copy()
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expected.update({
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'product': 120
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})
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requires = self.flow_store.keys()
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provides = 'product'
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flow = linear_flow.Flow("square array flow")
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flow.add(base.ReduceFunctorTask(multiply, requires=requires,
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provides=provides))
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result = engines.run(flow, store=self.flow_store)
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self.assertDictEqual(expected, result)
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