- Added a MapFunctorTask and ReduceFunctorTask to mimic the python builtin functions map and reduce, respectively Change-Id: I29cd1249e1671aedfd2d25460d746b8d2154df2b
		
			
				
	
	
		
			81 lines
		
	
	
		
			2.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			81 lines
		
	
	
		
			2.3 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 double(x):
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    return x * 2
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square = lambda x: x * x
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class MapFunctorTaskTest(test.TestCase):
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    def setUp(self):
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        super(MapFunctorTaskTest, 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_double_array(self):
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        expected = self.flow_store.copy()
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        expected.update({
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            'double_a': 2,
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            'double_b': 4,
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            'double_c': 6,
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            'double_d': 8,
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            'double_e': 10,
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        })
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        requires = self.flow_store.keys()
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        provides = ["double_%s" % k for k in requires]
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        flow = linear_flow.Flow("double array flow")
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        flow.add(base.MapFunctorTask(double, 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_square_array(self):
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        expected = self.flow_store.copy()
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        expected.update({
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            'square_a': 1,
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            'square_b': 4,
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            'square_c': 9,
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            'square_d': 16,
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            'square_e': 25,
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        })
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        requires = self.flow_store.keys()
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        provides = ["square_%s" % k for k in requires]
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        flow = linear_flow.Flow("square array flow")
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        flow.add(base.MapFunctorTask(square, 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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