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1 #=============================================================================== 2 # Copyright (c) 2016, Max Zwiessele 3 # All rights reserved. 4 # 5 # Redistribution and use in source and binary forms, with or without 6 # modification, are permitted provided that the following conditions are met: 7 # 8 # * Redistributions of source code must retain the above copyright notice, this 9 # list of conditions and the following disclaimer. 10 # 11 # * Redistributions in binary form must reproduce the above copyright notice, 12 # this list of conditions and the following disclaimer in the documentation 13 # and/or other materials provided with the distribution. 14 # 15 # * Neither the name of paramz.tests.verbose_optimize_tests nor the names of its 16 # contributors may be used to endorse or promote products derived from 17 # this software without specific prior written permission. 18 # 19 # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 20 # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 21 # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE 22 # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE 23 # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL 24 # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR 25 # SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER 26 # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, 27 # OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE 28 # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 29 #=============================================================================== 30 31 import unittest 32 from paramz.optimization.verbose_optimization import VerboseOptimization 33 from paramz.optimization.optimization import opt_bfgs 3444 45 self.vo = VerboseOptimization(Stub(), opt_bfgs(), -10, verbose=True) 4637 class Stub(object): 38 obj_grads = [10,0] 39 def add_observer(self, m, f): 40 self.obs = m 41 self.obs_f = f42 def objective_function(self): 43 return 1048 self.vo.print_out(0) 49 self.assertEqual(self.vo.timestring, '00s00') 50 51 self.vo.print_out(10.2455) 52 self.assertEqual(self.vo.timestring, '10s24') 53 54 self.vo.print_out(120) 55 self.assertEqual(self.vo.timestring, '02m00s00') 56 57 self.vo.print_out(60*60+120+12.2455) 58 self.assertEqual(self.vo.timestring, '01h02m12') 59 60 self.vo.print_out(2*3600*24+60*60+120+12.2455) 61 self.assertEqual(self.vo.timestring, '02d01h02')62 65
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