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# -*- coding: utf-8 -*-
# Copyright 2015 Hewlett-Packard Development Company, L.P.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import taskflow.engines as engines
from taskflow.patterns import linear_flow
from taskflow import task as base
from taskflow import test
def double(x):
return x * 2
square = lambda x: x * x
class MapFunctorTaskTest(test.TestCase):
def setUp(self):
super(MapFunctorTaskTest, self).setUp()
self.flow_store = {
'a': 1,
'b': 2,
'c': 3,
'd': 4,
'e': 5,
}
def test_double_array(self):
expected = self.flow_store.copy()
expected.update({
'double_a': 2,
'double_b': 4,
'double_c': 6,
'double_d': 8,
'double_e': 10,
})
requires = self.flow_store.keys()
provides = ["double_%s" % k for k in requires]
flow = linear_flow.Flow("double array flow")
flow.add(base.MapFunctorTask(double, requires=requires,
provides=provides))
result = engines.run(flow, store=self.flow_store)
self.assertDictEqual(expected, result)
def test_square_array(self):
expected = self.flow_store.copy()
expected.update({
'square_a': 1,
'square_b': 4,
'square_c': 9,
'square_d': 16,
'square_e': 25,
})
requires = self.flow_store.keys()
provides = ["square_%s" % k for k in requires]
flow = linear_flow.Flow("square array flow")
flow.add(base.MapFunctorTask(square, requires=requires,
provides=provides))
result = engines.run(flow, store=self.flow_store)
self.assertDictEqual(expected, result)
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