# Copyright (c) 2019 lulua contributors # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. from .optimize import Annealer class NullAnnealer (Annealer): """ Simple dummy annealer for testing """ def energy (self): return sum (self.state) def mutate (self): prev = self.energy () self.state = [x-1 for x in self.state] return self.energy () - prev def test_null_annealer (): dut = NullAnnealer ([1, 2, 3]) optimal, energy = dut.run (1) assert optimal == [0, 1, 2] assert energy == sum ([0, 1, 2])-sum([1, 2, 3]) assert dut.energy () == sum([0, 1, 2])