Changeset 2391
- Timestamp:
- Feb 22, 2010 2:00:46 AM (10 years ago)
- Location:
- coopr.pysp/stable/2.3
- Files:
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- 9 edited
- 1 copied
-
. (modified) (1 prop)
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coopr/pysp/ef.py (modified) (6 diffs)
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coopr/pysp/ph.py (modified) (1 diff)
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coopr/pysp/phutils.py (modified) (1 diff)
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coopr/pysp/scenariotree.py (modified) (2 diffs)
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coopr/pysp/tests/unit/farmer_linearized.baseline (modified) (2 diffs)
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coopr/pysp/tests/unit/farmer_linearized_nodedata.baseline (copied) (copied from coopr.pysp/trunk/coopr/pysp/tests/unit/farmer_linearized_nodedata.baseline)
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coopr/pysp/tests/unit/farmer_quadratic.baseline (modified) (2 diffs)
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coopr/pysp/tests/unit/sizes3_quadratic.baseline (modified) (16 diffs)
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coopr/pysp/tests/unit/test_ph.py (modified) (4 diffs)
Legend:
- Unmodified
- Added
- Removed
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coopr.pysp/stable/2.3
- Property svnmerge-integrated changed
/coopr.pysp/trunk merged: 2367,2370-2376,2382-2383
- Property svnmerge-integrated changed
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coopr.pysp/stable/2.3/coopr/pysp/ef.py
r2361 r2391 181 181 scenario_data.read(model=scenario_instance) 182 182 scenario_instance._load_model_data(scenario_data) 183 scenario_instance.pre solve()183 scenario_instance.preprocess() 184 184 except: 185 185 print "Encountered exception in model instance creation - traceback:" … … 190 190 scenario_instance.name = scenario._name 191 191 192 scenario_instance.pre solve()192 scenario_instance.preprocess() 193 193 instances[scenario._name] = scenario_instance 194 194 … … 296 296 cvar_eta_variable.construct() 297 297 298 master_binding_instance.pre solve()298 master_binding_instance.preprocess() 299 299 300 300 # ditto above for the (non-expected) cost variable. … … 459 459 for scenario_name in instances.keys(): 460 460 scenario_instance = instances[scenario_name] 461 scenario_instance.pre solve()462 463 master_binding_instance.pre solve()461 scenario_instance.preprocess() 462 463 master_binding_instance.preprocess() 464 464 465 465 ################################################################################################ … … 695 695 setattr(master_binding_instance, expected_cost_variable_name, expected_cost_variable) 696 696 697 master_binding_instance.pre solve()697 master_binding_instance.preprocess() 698 698 699 699 # ditto above for the (non-expected) cost variable. … … 781 781 setattr(master_binding_instance, "MASTER", new_objective) 782 782 783 master_binding_instance.pre solve()783 master_binding_instance.preprocess() 784 784 785 785 ################################################################################################ -
coopr.pysp/stable/2.3/coopr/pysp/ph.py
r2366 r2391 220 220 variable_index = None 221 221 222 new_rho_value = rho_expression() 222 new_rho_value = None 223 if isinstance(rho_expression, float): 224 new_rho_value = rho_expression 225 else: 226 new_rho_value = rho_expression() 223 227 224 228 if self._verbose is True: -
coopr.pysp/stable/2.3/coopr/pysp/phutils.py
r2361 r2391 217 217 scenario_data.read(model=scenario_instance) 218 218 scenario_instance._load_model_data(scenario_data) 219 scenario_instance.pre solve()219 scenario_instance.preprocess() 220 220 except: 221 221 print "Encountered exception in model instance creation - traceback:" -
coopr.pysp/stable/2.3/coopr/pysp/scenariotree.py
r2366 r2391 429 429 self._tree_nodes.remove(tree_node) 430 430 431 432 # re-normalize the conditional probabilities of the 433 # children at each tree node. 434 for tree_node in self._tree_nodes: 435 sum_child_probabilities = 0.0 436 for child_node in tree_node._children: 437 sum_child_probabilities += child_node._conditional_probability 438 for child_node in tree_node._children: 439 child_node._conditional_probability = child_node._conditional_probability / sum_child_probabilities 440 441 # re-compute the absolute scenario probabilities based 442 # on the re-normalized conditional node probabilities. 443 for scenario in self._scenarios: 444 probability = 1.0 445 for tree_node in scenario._node_list: 446 probability = probability * tree_node._conditional_probability 447 scenario._probability = probability 448 431 449 # 432 450 # returns the root node of the scenario tree … … 462 480 sum_probabilities += child._conditional_probability 463 481 if abs(1.0 - sum_probabilities) > 0.000001: 464 print "The child conditional probabilities for tree node=" + child._name + " sum to " + `sum_probabilities`482 print "The child conditional probabilities for tree node=" + tree_node._name + " sum to " + `sum_probabilities` 465 483 return False 466 484 -
coopr.pysp/stable/2.3/coopr/pysp/tests/unit/farmer_linearized.baseline
r2366 r2391 100 100 BelowAverageNode 101 101 Scenarios: 102 AboveAverageScenario 103 AverageScenario 102 104 BelowAverageScenario 103 AverageScenario104 AboveAverageScenario105 105 Expected node cost=-107958.8967 106 106 … … 140 140 ---------------------------------------------------- 141 141 142 Total PH execution time= 2.69seconds142 Total PH execution time= 0.85 seconds 143 143 -
coopr.pysp/stable/2.3/coopr/pysp/tests/unit/farmer_quadratic.baseline
r2366 r2391 217 217 BelowAverageNode 218 218 Scenarios: 219 AboveAverageScenario 220 AverageScenario 219 221 BelowAverageScenario 220 AverageScenario221 AboveAverageScenario222 222 Expected node cost=-108389.8893 223 223 … … 257 257 ---------------------------------------------------- 258 258 259 Total PH execution time= 8.38seconds260 259 Total PH execution time= 5.94 seconds 260 -
coopr.pysp/stable/2.3/coopr/pysp/tests/unit/sizes3_quadratic.baseline
r2317 r2391 7 7 Initiating PH iteration=0 8 8 Fixing variable=ProduceSizeFirstStage[1] at tree node=RootNode to value=0; converged for 1 iterations 9 Convergence metric= 112834.6667 First stage cost avg= 163129.6000 Max-Min= 703.209 Convergence metric= 83334.2222 First stage cost avg= 162890.6667 Max-Min= 668.20 10 10 Initiating PH iteration=1 11 Convergence metric= 88670.8889 First stage cost avg= 163462.7651 Max-Min= 1115.9611 Convergence metric= 65448.8889 First stage cost avg= 163317.2677 Max-Min= 331.37 12 12 Initiating PH iteration=2 13 Convergence metric= 2 9006.2222 First stage cost avg= 163509.3144 Max-Min= 200.1013 Convergence metric= 24908.2222 First stage cost avg= 163358.5555 Max-Min= 1216.80 14 14 Initiating PH iteration=3 15 Convergence metric= 9660.8889 First stage cost avg= 163267.9045 Max-Min= 230.4415 Convergence metric= 4082.8889 First stage cost avg= 163149.3077 Max-Min= 105.98 16 16 Initiating PH iteration=4 17 Convergence metric= 5441.3333 First stage cost avg= 163041.9835 Max-Min= 16.1817 Convergence metric= 1242.4444 First stage cost avg= 162954.7893 Max-Min= 28.79 18 18 Initiating PH iteration=5 19 Convergence metric= 2181.5556 First stage cost avg= 162847.0536 Max-Min= 134.2919 Convergence metric= 530.8889 First stage cost avg= 162758.5331 Max-Min= 17.02 20 20 Initiating PH iteration=6 21 Convergence metric= 1935.3333 First stage cost avg= 162722.7331 Max-Min= 301.3421 Convergence metric= 506.8889 First stage cost avg= 162551.0165 Max-Min= 28.61 22 22 Initiating PH iteration=7 23 Convergence metric= 2200.2222 First stage cost avg= 162680.8859 Max-Min= 390.9923 Convergence metric= 449.7778 First stage cost avg= 162340.0891 Max-Min= 2.54 24 24 Initiating PH iteration=8 25 Convergence metric= 1411.3333 First stage cost avg= 162670.2603 Max-Min= 129.5825 Convergence metric= 231.5556 First stage cost avg= 162128.4016 Max-Min= 0.75 26 26 Initiating PH iteration=9 27 Convergence metric= 727.7778 First stage cost avg= 162688.0685 Max-Min= 101.9327 Convergence metric= 78.0000 First stage cost avg= 161930.8021 Max-Min= 38.42 28 28 Initiating PH iteration=10 29 Convergence metric= 878.2222 First stage cost avg= 162720.5949 Max-Min= 50.3629 Convergence metric= 88.0000 First stage cost avg= 161759.4387 Max-Min= 79.41 30 30 Initiating PH iteration=11 31 Convergence metric= 826.2222 First stage cost avg= 162705.7957 Max-Min= 136.4131 Convergence metric= 405.3333 First stage cost avg= 161677.2576 Max-Min= 271.97 32 32 Initiating PH iteration=12 33 Convergence metric= 5 18.6667 First stage cost avg= 162670.0747 Max-Min= 86.9833 Convergence metric= 542.0000 First stage cost avg= 161679.8032 Max-Min= 271.97 34 34 Initiating PH iteration=13 35 Convergence metric= 135.7778 First stage cost avg= 162628.3363 Max-Min= 20.2735 Convergence metric= 502.6667 First stage cost avg= 161743.3941 Max-Min= 175.81 36 36 Initiating PH iteration=14 37 Convergence metric= 118.4444 First stage cost avg= 162608.1661 Max-Min= 66.0537 Convergence metric= 643.7778 First stage cost avg= 161808.6973 Max-Min= 5.78 38 38 Initiating PH iteration=15 39 Convergence metric= 192.0000 First stage cost avg= 162609.3181 Max-Min= 63.1239 Convergence metric= 560.8889 First stage cost avg= 161831.3795 Max-Min= 67.28 40 40 Initiating PH iteration=16 41 Convergence metric= 268.6667 First stage cost avg= 162623.8405 Max-Min= 41.6841 Convergence metric= 583.1111 First stage cost avg= 161824.5504 Max-Min= 46.79 42 42 Initiating PH iteration=17 43 Convergence metric= 263.5556 First stage cost avg= 162643.0563 Max-Min= 12.5243 Convergence metric= 838.2222 First stage cost avg= 161853.2312 Max-Min= 118.48 44 44 Initiating PH iteration=18 45 Convergence metric= 703.5556 First stage cost avg= 162614.4827 Max-Min= 140.1345 Convergence metric= 652.4444 First stage cost avg= 161875.2696 Max-Min= 118.48 46 46 Initiating PH iteration=19 47 47 Fixing variable=ProduceSizeFirstStage[2] at tree node=RootNode to value=0; converged for 20 iterations … … 50 50 Fixing variable=ProduceSizeFirstStage[5] at tree node=RootNode to value=1; converged for 20 iterations 51 51 Fixing variable=ProduceSizeFirstStage[6] at tree node=RootNode to value=1; converged for 20 iterations 52 Fixing variable=ProduceSizeFirstStage[7] at tree node=RootNode to value=1; converged for 20 iterations 52 53 Fixing variable=ProduceSizeFirstStage[10] at tree node=RootNode to value=1; converged for 20 iterations 53 Convergence metric= 260.6667 First stage cost avg= 162564.7592 Max-Min= 65.1154 Convergence metric= 190.0000 First stage cost avg= 161968.2467 Max-Min= 178.87 54 55 Initiating PH iteration=20 55 Fixing variable=ProduceSizeFirstStage[7] at tree node=RootNode to value=1; converged for 20 iterations 56 Fixing variable=ProduceSizeFirstStage[9] at tree node=RootNode to value=1; converged for 20 iterations 57 Convergence metric= 141.5556 First stage cost avg= 162528.8549 Max-Min= 34.87 56 Convergence metric= 338.2222 First stage cost avg= 162018.1013 Max-Min= 131.79 58 57 Initiating PH iteration=21 59 58 Fixing variable=ProduceSizeFirstStage[8] at tree node=RootNode to value=1; converged for 20 iterations 60 Convergence metric= 328.8889 First stage cost avg= 162522.4603 Max-Min= 59.83 59 Fixing variable=ProduceSizeFirstStage[9] at tree node=RootNode to value=1; converged for 20 iterations 60 Convergence metric= 429.3333 First stage cost avg= 162021.8843 Max-Min= 136.68 61 61 Initiating PH iteration=22 62 Convergence metric= 345.1111 First stage cost avg= 162526.5093 Max-Min= 25.7862 Convergence metric= 534.0000 First stage cost avg= 162101.8949 Max-Min= 184.75 63 63 Initiating PH iteration=23 64 Convergence metric= 248.4444 First stage cost avg= 162526.0035 Max-Min= 9.4664 Convergence metric= 123.7778 First stage cost avg= 162177.4795 Max-Min= 72.20 65 65 Initiating PH iteration=24 66 Convergence metric= 106.2222 First stage cost avg= 162519.5000 Max-Min= 12.5766 Convergence metric= 288.6667 First stage cost avg= 162201.2680 Max-Min= 113.73 67 67 Initiating PH iteration=25 68 Convergence metric= 38.4444 First stage cost avg= 162512.6360 Max-Min= 18.8568 Convergence metric= 402.6667 First stage cost avg= 162253.1648 Max-Min= 111.71 69 69 Initiating PH iteration=26 70 Convergence metric= 96.8889 First stage cost avg= 162511.9904 Max-Min= 20.7970 Convergence metric= 407.1111 First stage cost avg= 162279.9275 Max-Min= 111.71 71 71 Initiating PH iteration=27 72 Convergence metric= 114.8889 First stage cost avg= 162510.8731 Max-Min= 17.4872 Convergence metric= 536.6667 First stage cost avg= 162351.9925 Max-Min= 117.80 73 73 Initiating PH iteration=28 74 Convergence metric= 125.1111 First stage cost avg= 162512.2099 Max-Min= 17.4874 Convergence metric= 464.8889 First stage cost avg= 162390.8531 Max-Min= 102.08 75 75 Initiating PH iteration=29 76 76 Fixing variable=NumProducedFirstStage[1] at tree node=RootNode to value=0; converged for 30 iterations … … 79 79 Fixing variable=NumUnitsCutFirstStage[7,3] at tree node=RootNode to value=0; converged for 30 iterations 80 80 Fixing variable=NumUnitsCutFirstStage[9,1] at tree node=RootNode to value=0; converged for 30 iterations 81 Fixing variable=NumUnitsCutFirstStage[6,6] at tree node=RootNode to value=25000; converged for 30 iterations 82 Fixing variable=NumUnitsCutFirstStage[10,6] at tree node=RootNode to value=0; converged for 30 iterations 83 Fixing variable=NumUnitsCutFirstStage[3,2] at tree node=RootNode to value=7500; converged for 30 iterations 81 84 Fixing variable=NumUnitsCutFirstStage[2,1] at tree node=RootNode to value=0; converged for 30 iterations 82 85 Fixing variable=NumUnitsCutFirstStage[6,2] at tree node=RootNode to value=0; converged for 30 iterations … … 85 88 Fixing variable=NumUnitsCutFirstStage[7,2] at tree node=RootNode to value=0; converged for 30 iterations 86 89 Fixing variable=NumUnitsCutFirstStage[8,2] at tree node=RootNode to value=0; converged for 30 iterations 90 Fixing variable=NumUnitsCutFirstStage[3,3] at tree node=RootNode to value=12500; converged for 30 iterations 87 91 Fixing variable=NumUnitsCutFirstStage[8,1] at tree node=RootNode to value=0; converged for 30 iterations 88 Fixing variable=NumUnitsCutFirstStage[8,5] at tree node=RootNode to value=0; converged for 30 iterations89 92 Fixing variable=NumUnitsCutFirstStage[7,6] at tree node=RootNode to value=0; converged for 30 iterations 90 93 Fixing variable=NumUnitsCutFirstStage[4,4] at tree node=RootNode to value=0; converged for 30 iterations … … 94 97 Fixing variable=NumUnitsCutFirstStage[4,1] at tree node=RootNode to value=0; converged for 30 iterations 95 98 Fixing variable=NumUnitsCutFirstStage[1,1] at tree node=RootNode to value=0; converged for 30 iterations 99 Fixing variable=NumUnitsCutFirstStage[9,7] at tree node=RootNode to value=0; converged for 30 iterations 96 100 Fixing variable=NumUnitsCutFirstStage[7,1] at tree node=RootNode to value=0; converged for 30 iterations 97 101 Fixing variable=NumUnitsCutFirstStage[9,3] at tree node=RootNode to value=0; converged for 30 iterations 98 102 Fixing variable=NumUnitsCutFirstStage[10,1] at tree node=RootNode to value=0; converged for 30 iterations 103 Fixing variable=NumUnitsCutFirstStage[9,5] at tree node=RootNode to value=0; converged for 30 iterations 99 104 Fixing variable=NumUnitsCutFirstStage[4,2] at tree node=RootNode to value=0; converged for 30 iterations 100 105 Fixing variable=NumUnitsCutFirstStage[9,6] at tree node=RootNode to value=0; converged for 30 iterations 101 106 Fixing variable=NumUnitsCutFirstStage[5,3] at tree node=RootNode to value=0; converged for 30 iterations 102 Fixing variable=NumUnitsCutFirstStage[10,5] at tree node=RootNode to value=0; converged for 30 iterations103 107 Fixing variable=NumUnitsCutFirstStage[10,10] at tree node=RootNode to value=5000; converged for 30 iterations 104 108 Fixing variable=NumUnitsCutFirstStage[9,2] at tree node=RootNode to value=0; converged for 30 iterations 105 109 Fixing variable=NumUnitsCutFirstStage[6,1] at tree node=RootNode to value=0; converged for 30 iterations 110 Fixing variable=NumUnitsCutFirstStage[3,1] at tree node=RootNode to value=2500; converged for 30 iterations 106 111 Fixing variable=NumUnitsCutFirstStage[4,3] at tree node=RootNode to value=0; converged for 30 iterations 107 112 Fixing variable=NumUnitsCutFirstStage[8,3] at tree node=RootNode to value=0; converged for 30 iterations 108 113 Fixing variable=NumUnitsCutFirstStage[5,2] at tree node=RootNode to value=0; converged for 30 iterations 109 114 Fixing variable=NumUnitsCutFirstStage[10,2] at tree node=RootNode to value=0; converged for 30 iterations 110 Convergence metric= 73.1111 First stage cost avg= 162517.4552 Max-Min= 10.03115 Convergence metric= 488.4444 First stage cost avg= 162392.2824 Max-Min= 105.15 111 116 Initiating PH iteration=30 112 Convergence metric= 43.3333 First stage cost avg= 162520.1480 Max-Min= 2.45117 Convergence metric= 589.1111 First stage cost avg= 162442.1243 Max-Min= 102.51 113 118 Initiating PH iteration=31 114 Convergence metric= 53.1111 First stage cost avg= 162520.3797 Max-Min= 2.45 119 Fixing variable=NumUnitsCutFirstStage[7,5] at tree node=RootNode to value=0; converged for 30 iterations 120 Convergence metric= 429.5556 First stage cost avg= 162473.6141 Max-Min= 71.91 115 121 Initiating PH iteration=32 116 Fixing variable=NumUnitsCutFirstStage[ 7,5] at tree node=RootNode to value=0; converged for 30 iterations117 Convergence metric= 44.8889 First stage cost avg= 162519.3685 Max-Min= 4.29122 Fixing variable=NumUnitsCutFirstStage[10,5] at tree node=RootNode to value=0; converged for 30 iterations 123 Convergence metric= 481.7778 First stage cost avg= 162477.2768 Max-Min= 74.86 118 124 Initiating PH iteration=33 119 Fixing variable=NumUnitsCutFirstStage[9,5] at tree node=RootNode to value=0; converged for 30 iterations 125 Fixing variable=NumUnitsCutFirstStage[9,4] at tree node=RootNode to value=0; converged for 30 iterations 126 Convergence metric= 353.7778 First stage cost avg= 162524.1715 Max-Min= 108.19 127 Initiating PH iteration=34 128 Fixing variable=NumUnitsCutFirstStage[8,7] at tree node=RootNode to value=0; converged for 30 iterations 120 129 Fixing variable=NumUnitsCutFirstStage[8,4] at tree node=RootNode to value=0; converged for 30 iterations 121 Convergence metric= 37.5556 First stage cost avg= 162519.4059 Max-Min= 4.18 122 Initiating PH iteration=34 123 Fixing variable=NumUnitsCutFirstStage[3,3] at tree node=RootNode to value=12500; converged for 30 iterations 124 Convergence metric= 38.8889 First stage cost avg= 162518.8920 Max-Min= 5.72 130 Convergence metric= 200.8889 First stage cost avg= 162547.7352 Max-Min= 71.21 125 131 Initiating PH iteration=35 126 Fixing variable=NumUnitsCutFirstStage[6,6] at tree node=RootNode to value=25000; converged for 30 iterations 127 Fixing variable=NumUnitsCutFirstStage[10,6] at tree node=RootNode to value=0; converged for 30 iterations 128 Fixing variable=NumUnitsCutFirstStage[9,7] at tree node=RootNode to value=0; converged for 30 iterations 129 Fixing variable=NumUnitsCutFirstStage[3,1] at tree node=RootNode to value=2500; converged for 30 iterations 130 Fixing variable=NumUnitsCutFirstStage[7,4] at tree node=RootNode to value=0; converged for 30 iterations 131 Convergence metric= 164.2222 First stage cost avg= 162521.0685 Max-Min= 9.80 132 Initiating PH iteration=36 133 Convergence metric= 129.5556 First stage cost avg= 162520.5549 Max-Min= 11.34 134 Initiating PH iteration=37 135 Convergence metric= 140.6667 First stage cost avg= 162520.5189 Max-Min= 11.45 136 Initiating PH iteration=38 137 Convergence metric= 127.7778 First stage cost avg= 162520.3024 Max-Min= 12.10 138 Initiating PH iteration=39 139 Fixing variable=NumUnitsCutFirstStage[9,8] at tree node=RootNode to value=0; converged for 30 iterations 140 Convergence metric= 115.5556 First stage cost avg= 162520.8720 Max-Min= 10.39 141 Initiating PH iteration=40 142 Fixing variable=NumUnitsCutFirstStage[10,8] at tree node=RootNode to value=0; converged for 30 iterations 143 Fixing variable=NumUnitsCutFirstStage[8,8] at tree node=RootNode to value=12500; converged for 30 iterations 144 Convergence metric= 119.3333 First stage cost avg= 162521.1565 Max-Min= 9.53 145 Initiating PH iteration=41 146 Fixing variable=NumUnitsCutFirstStage[8,7] at tree node=RootNode to value=0; converged for 30 iterations 147 Convergence metric= 1000.0000 First stage cost avg= 162503.2563 Max-Min= 20.58 148 Initiating PH iteration=42 149 Fixing variable=NumUnitsCutFirstStage[10,4] at tree node=RootNode to value=0; converged for 30 iterations 150 Fixing variable=NumUnitsCutFirstStage[10,7] at tree node=RootNode to value=0; converged for 30 iterations 151 Convergence metric= 491.1111 First stage cost avg= 162519.9008 Max-Min= 92.31 152 Initiating PH iteration=43 153 Fixing variable=NumUnitsCutFirstStage[3,2] at tree node=RootNode to value=7500; converged for 30 iterations 154 Fixing variable=NumUnitsCutFirstStage[9,4] at tree node=RootNode to value=0; converged for 30 iterations 132 Fixing variable=NumUnitsCutFirstStage[8,5] at tree node=RootNode to value=0; converged for 30 iterations 155 133 Fixing variable=NumUnitsCutFirstStage[5,5] at tree node=RootNode to value=35000; converged for 30 iterations 156 134 Fixing variable=NumUnitsCutFirstStage[6,5] at tree node=RootNode to value=0; converged for 30 iterations 157 Convergence metric= 104.4444 First stage cost avg= 162555.0941 Max-Min= 137.06 135 Fixing variable=NumUnitsCutFirstStage[7,4] at tree node=RootNode to value=0; converged for 30 iterations 136 Convergence metric= 208.4444 First stage cost avg= 162547.7784 Max-Min= 71.30 137 Initiating PH iteration=36 138 Convergence metric= 197.7778 First stage cost avg= 162590.0229 Max-Min= 102.45 139 Initiating PH iteration=37 140 Convergence metric= 153.1111 First stage cost avg= 162618.0912 Max-Min= 79.00 141 Initiating PH iteration=38 142 Convergence metric= 78.2222 First stage cost avg= 162660.3163 Max-Min= 36.50 143 Initiating PH iteration=39 144 Fixing variable=NumUnitsCutFirstStage[10,4] at tree node=RootNode to value=0; converged for 30 iterations 145 Convergence metric= 97.5556 First stage cost avg= 162678.3757 Max-Min= 50.64 146 Initiating PH iteration=40 147 Fixing variable=NumUnitsCutFirstStage[9,8] at tree node=RootNode to value=0; converged for 30 iterations 148 Convergence metric= 125.5556 First stage cost avg= 162687.5904 Max-Min= 64.50 149 Initiating PH iteration=41 150 Convergence metric= 103.7778 First stage cost avg= 162681.4379 Max-Min= 46.78 151 Initiating PH iteration=42 152 Convergence metric= 297.1111 First stage cost avg= 162713.8197 Max-Min= 118.03 153 Initiating PH iteration=43 154 Convergence metric= 110.8889 First stage cost avg= 162765.8763 Max-Min= 44.97 158 155 Initiating PH iteration=44 159 Convergence metric= 234.8889 First stage cost avg= 162565.2381 Max-Min= 167.49156 Convergence metric= 124.2222 First stage cost avg= 162784.8645 Max-Min= 46.13 160 157 Initiating PH iteration=45 161 Convergence metric= 215.1111 First stage cost avg= 162559.5171 Max-Min= 150.33158 Convergence metric= 121.3333 First stage cost avg= 162828.4368 Max-Min= 97.23 162 159 Initiating PH iteration=46 163 Convergence metric= 1 91.1111 First stage cost avg= 162551.9536 Max-Min= 127.64160 Convergence metric= 115.3333 First stage cost avg= 162848.6045 Max-Min= 97.20 164 161 Initiating PH iteration=47 165 Convergence metric= 261.5556 First stage cost avg= 162590.4424 Max-Min= 165.04162 Convergence metric= 90.6667 First stage cost avg= 162901.1149 Max-Min= 81.47 166 163 Initiating PH iteration=48 167 Convergence metric= 271.7778 First stage cost avg= 162727.4427 Max-Min= 291.46164 Convergence metric= 29.7778 First stage cost avg= 162944.5685 Max-Min= 23.24 168 165 Initiating PH iteration=49 169 Convergence metric= 181.1111 First stage cost avg= 162810.1099 Max-Min= 215.64166 Convergence metric= 31.1111 First stage cost avg= 162978.8581 Max-Min= 31.24 170 167 Initiating PH iteration=50 171 Convergence metric= 152.8889 First stage cost avg= 162832.5963 Max-Min= 206.17168 Convergence metric= 57.3333 First stage cost avg= 162987.6752 Max-Min= 55.43 172 169 Initiating PH iteration=51 173 Convergence metric= 139.5556 First stage cost avg= 162832.6269 Max-Min= 172.80170 Convergence metric= 48.8889 First stage cost avg= 163010.1264 Max-Min= 22.70 174 171 Initiating PH iteration=52 175 Convergence metric= 159.5556 First stage cost avg= 162810.9301 Max-Min= 115.70172 Convergence metric= 32.2222 First stage cost avg= 163028.5835 Max-Min= 16.13 176 173 Initiating PH iteration=53 177 Convergence metric= 43.7778 First stage cost avg= 162764.6824 Max-Min= 47.11174 Convergence metric= 31.1111 First stage cost avg= 163050.5835 Max-Min= 14.50 178 175 Initiating PH iteration=54 179 Convergence metric= 65.1111 First stage cost avg= 162750.8069 Max-Min= 76.44176 Convergence metric= 46.0000 First stage cost avg= 163058.5744 Max-Min= 27.07 180 177 Initiating PH iteration=55 181 Convergence metric= 86.2222 First stage cost avg= 162762.6371 Max-Min= 69.00178 Convergence metric= 39.3333 First stage cost avg= 163057.0197 Max-Min= 22.41 182 179 Initiating PH iteration=56 183 Convergence metric= 71.1111 First stage cost avg= 162773.8237 Max-Min= 63.40 180 Fixing variable=NumUnitsCutFirstStage[10,7] at tree node=RootNode to value=0; converged for 30 iterations 181 Convergence metric= 27.1111 First stage cost avg= 163052.8653 Max-Min= 14.50 184 182 Initiating PH iteration=57 185 Convergence metric= 47.1111 First stage cost avg= 162772.4597 Max-Min= 49.29183 Convergence metric= 37.3333 First stage cost avg= 163055.8597 Max-Min= 23.48 186 184 Initiating PH iteration=58 187 Convergence metric= 22.0000 First stage cost avg= 162762.3544 Max-Min= 32.08185 Convergence metric= 150.0000 First stage cost avg= 163091.9667 Max-Min= 107.75 188 186 Initiating PH iteration=59 189 Convergence metric= 28.8889 First stage cost avg= 162757.9320 Max-Min= 29.55187 Convergence metric= 106.4444 First stage cost avg= 163104.6259 Max-Min= 76.96 190 188 Initiating PH iteration=60 191 Convergence metric= 26.4444 First stage cost avg= 162758.9744 Max-Min= 29.55189 Convergence metric= 97.5556 First stage cost avg= 163100.9563 Max-Min= 72.93 192 190 Initiating PH iteration=61 193 Convergence metric= 20.6667 First stage cost avg= 162761.3224 Max-Min= 29.55191 Convergence metric= 198.4444 First stage cost avg= 163141.8648 Max-Min= 150.27 194 192 Initiating PH iteration=62 195 Convergence metric= 21.3333 First stage cost avg= 162762.1051 Max-Min= 31.33193 Convergence metric= 82.8889 First stage cost avg= 163196.3315 Max-Min= 67.15 196 194 Initiating PH iteration=63 197 Convergence metric= 62.2222 First stage cost avg= 162738.9811 Max-Min= 71.11195 Convergence metric= 30.4444 First stage cost avg= 163240.3480 Max-Min= 13.45 198 196 Initiating PH iteration=64 199 Convergence metric= 52.4444 First stage cost avg= 162731.4315 Max-Min= 48.46 197 Cycle issue detected with variable=NumUnitsCutFirstStage[(10, 8)] 198 Current hash value=-51.0242933446 matched (within tolerance) hash value=-51.02429333 found at PH iteration=13; cycle length=51 199 Cycle length exceeds iteration slamming threshold=50; choosing a variable to slam 200 Slamming variable=NumProducedFirstStage[10] at tree node=RootNode to value=20478; value=node maximum 201 Fixing variable=NumProducedFirstStage[10] at tree node=RootNode to value=20478; converged for 0 iterations 202 Convergence metric= 66.6667 First stage cost avg= 163252.1880 Max-Min= 33.11 200 203 Initiating PH iteration=65 201 Convergence metric= 55.3333 First stage cost avg= 162730.1328 Max-Min= 44.56204 Convergence metric= 64.0000 First stage cost avg= 163265.4277 Max-Min= 53.49 202 205 Initiating PH iteration=66 203 Convergence metric= 52.0000 First stage cost avg= 162731.6981 Max-Min= 49.26206 Convergence metric= 42.6667 First stage cost avg= 163256.7723 Max-Min= 30.37 204 207 Initiating PH iteration=67 205 Convergence metric= 50.2222 First stage cost avg= 162733.2496 Max-Min= 53.91208 Convergence metric= 30.2222 First stage cost avg= 163250.2683 Max-Min= 30.37 206 209 Initiating PH iteration=68 207 Convergence metric= 50.6667 First stage cost avg= 162733.5093 Max-Min= 54.69210 Convergence metric= 30.2222 First stage cost avg= 163250.2683 Max-Min= 30.37 208 211 Initiating PH iteration=69 209 Cycle issue detected with variable=NumProducedFirstStage[7] 210 Current hash value=1076.00751688 matched (within tolerance) hash value=1076.00751746 found at PH iteration=16; cycle length=53 212 Convergence metric= 127.3333 First stage cost avg= 163291.2136 Max-Min= 113.28 213 Initiating PH iteration=70 214 Convergence metric= 97.7778 First stage cost avg= 163322.1560 Max-Min= 91.69 215 Initiating PH iteration=71 216 Fixing variable=NumUnitsCutFirstStage[10,9] at tree node=RootNode to value=0; converged for 30 iterations 217 Convergence metric= 107.7778 First stage cost avg= 163327.7763 Max-Min= 91.69 218 Initiating PH iteration=72 219 Convergence metric= 144.4444 First stage cost avg= 163351.0677 Max-Min= 118.01 220 Initiating PH iteration=73 221 Convergence metric= 3.5556 First stage cost avg= 163374.5947 Max-Min= 3.95 222 Initiating PH iteration=74 223 Convergence metric= 31.3333 First stage cost avg= 163391.9880 Max-Min= 22.46 224 Initiating PH iteration=75 225 Convergence metric= 40.2222 First stage cost avg= 163398.9469 Max-Min= 33.69 226 Initiating PH iteration=76 227 Cycle issue detected with variable=NumProducedFirstStage[8] 228 Current hash value=551.657215815 matched (within tolerance) hash value=551.657215815 found at PH iteration=23; cycle length=53 211 229 Cycle length exceeds iteration slamming threshold=50; choosing a variable to slam 212 Slamming variable=NumProducedFirstStage[10] at tree node=RootNode to value=18042; value=node maximum 213 Fixing variable=NumProducedFirstStage[10] at tree node=RootNode to value=18042; converged for 0 iterations 214 Convergence metric= 108.8889 First stage cost avg= 162787.4736 Max-Min= 123.65 215 Initiating PH iteration=70 216 Convergence metric= 75.7778 First stage cost avg= 162867.3651 Max-Min= 145.80 217 Initiating PH iteration=71 218 Convergence metric= 90.8889 First stage cost avg= 162907.4928 Max-Min= 113.30 219 Initiating PH iteration=72 220 Convergence metric= 105.5556 First stage cost avg= 162914.8285 Max-Min= 98.98 221 Initiating PH iteration=73 222 Convergence metric= 68.6667 First stage cost avg= 162938.0051 Max-Min= 29.45 223 Initiating PH iteration=74 224 Convergence metric= 52.6667 First stage cost avg= 162952.1979 Max-Min= 14.64 225 Initiating PH iteration=75 226 Cycle issue detected with variable=NumProducedFirstStage[7] 227 Current hash value=1323.3048585 matched (within tolerance) hash value=1323.30485908 found at PH iteration=24; cycle length=51 230 Slamming variable=NumProducedFirstStage[9] at tree node=RootNode to value=18361; value=node maximum 231 Fixing variable=NumProducedFirstStage[9] at tree node=RootNode to value=18361; converged for 0 iterations 232 Convergence metric= 59.0000 First stage cost avg= 163423.8339 Max-Min= 49.01 233 Initiating PH iteration=77 234 Convergence metric= 7.3333 First stage cost avg= 163454.6200 Max-Min= 4.05 235 Initiating PH iteration=78 236 Convergence metric= 24.6667 First stage cost avg= 163474.0021 Max-Min= 26.62 237 Initiating PH iteration=79 238 Convergence metric= 24.6667 First stage cost avg= 163501.2072 Max-Min= 24.26 239 Initiating PH iteration=80 240 Convergence metric= 10.4444 First stage cost avg= 163524.1155 Max-Min= 11.30 241 Initiating PH iteration=81 242 Convergence metric= 10.0000 First stage cost avg= 163551.2997 Max-Min= 12.05 243 Initiating PH iteration=82 244 Convergence metric= 2.2222 First stage cost avg= 163579.0251 Max-Min= 1.59 245 Initiating PH iteration=83 246 Convergence metric= 2.4444 First stage cost avg= 163606.2093 Max-Min= 1.57 247 Initiating PH iteration=84 248 Cycle issue detected with variable=NumUnitsCutFirstStage[(7, 7)] 249 Current hash value=-0.610309332731 matched (within tolerance) hash value=-0.610309332721 found at PH iteration=23; cycle length=61 228 250 Cycle length exceeds iteration slamming threshold=50; choosing a variable to slam 229 Slamming variable=NumProducedFirstStage[9] at tree node=RootNode to value=22684; value=node maximum 230 Fixing variable=NumProducedFirstStage[9] at tree node=RootNode to value=22684; converged for 0 iterations 231 Convergence metric= 26.1111 First stage cost avg= 162957.2029 Max-Min= 18.34 232 Initiating PH iteration=76 233 Convergence metric= 15.5556 First stage cost avg= 162953.1304 Max-Min= 6.64 234 Initiating PH iteration=77 235 Convergence metric= 17.5556 First stage cost avg= 162951.5131 Max-Min= 8.70 236 Initiating PH iteration=78 237 Fixing variable=NumUnitsCutFirstStage[10,9] at tree node=RootNode to value=0; converged for 30 iterations 238 Convergence metric= 10.0000 First stage cost avg= 162951.9875 Max-Min= 7.27 239 Initiating PH iteration=79 240 Convergence metric= 33.5556 First stage cost avg= 162943.7277 Max-Min= 23.76 241 Initiating PH iteration=80 242 Convergence metric= 26.2222 First stage cost avg= 162938.4187 Max-Min= 21.27 243 Initiating PH iteration=81 244 Cycle issue detected with variable=NumProducedFirstStage[3] 245 Current hash value=2811.5187373 matched (within tolerance) hash value=2811.51873984 found at PH iteration=29; cycle length=52 251 Slamming variable=NumProducedFirstStage[8] at tree node=RootNode to value=8801; value=node maximum 252 Fixing variable=NumProducedFirstStage[8] at tree node=RootNode to value=8801; converged for 0 iterations 253 Convergence metric= 19.7778 First stage cost avg= 163613.0520 Max-Min= 11.51 254 Initiating PH iteration=85 255 Convergence metric= 13.1111 First stage cost avg= 163616.9936 Max-Min= 0.41 256 Initiating PH iteration=86 257 Convergence metric= 13.1111 First stage cost avg= 163616.9936 Max-Min= 0.41 258 Initiating PH iteration=87 259 Convergence metric= 11.1111 First stage cost avg= 163616.9659 Max-Min= 0.04 260 Initiating PH iteration=88 261 Convergence metric= 10.8889 First stage cost avg= 163616.9451 Max-Min= 0.05 262 Initiating PH iteration=89 263 Convergence metric= 10.8889 First stage cost avg= 163616.9451 Max-Min= 0.05 264 Initiating PH iteration=90 265 Convergence metric= 10.8889 First stage cost avg= 163616.8757 Max-Min= 0.22 266 Initiating PH iteration=91 267 Convergence metric= 6.8889 First stage cost avg= 163616.8272 Max-Min= 0.21 268 Initiating PH iteration=92 269 Cycle issue detected with variable=NumProducedFirstStage[6] 270 Current hash value=602.827470658 matched (within tolerance) hash value=602.827467185 found at PH iteration=39; cycle length=53 246 271 Cycle length exceeds iteration slamming threshold=50; choosing a variable to slam 247 Slamming variable=NumProducedFirstStage[8] at tree node=RootNode to value=19439; value=node maximum 248 Fixing variable=NumProducedFirstStage[8] at tree node=RootNode to value=19439; converged for 0 iterations 249 Convergence metric= 20.1111 First stage cost avg= 162940.4411 Max-Min= 18.23 250 Initiating PH iteration=82 251 Convergence metric= 7.7778 First stage cost avg= 162946.5675 Max-Min= 9.58 252 Initiating PH iteration=83 253 Convergence metric= 7.5556 First stage cost avg= 162954.2384 Max-Min= 7.09 254 Initiating PH iteration=84 255 Convergence metric= 10.6667 First stage cost avg= 162957.1475 Max-Min= 9.48 256 Initiating PH iteration=85 257 Convergence metric= 12.4444 First stage cost avg= 162958.2280 Max-Min= 11.89 258 Initiating PH iteration=86 259 Convergence metric= 9.5556 First stage cost avg= 162956.9328 Max-Min= 8.75 260 Initiating PH iteration=87 261 Convergence metric= 4.4444 First stage cost avg= 162954.2939 Max-Min= 4.00 262 Initiating PH iteration=88 263 Cycle issue detected with variable=NumProducedFirstStage[7] 264 Current hash value=1292.39269309 matched (within tolerance) hash value=1292.39269137 found at PH iteration=23; cycle length=65 265 Cycle length exceeds iteration slamming threshold=50; choosing a variable to slam 266 Slamming variable=NumProducedFirstStage[7] at tree node=RootNode to value=17622; value=node maximum 267 Fixing variable=NumProducedFirstStage[7] at tree node=RootNode to value=17622; converged for 0 iterations 268 Convergence metric= 2.1111 First stage cost avg= 162951.3848 Max-Min= 0.77 269 Initiating PH iteration=89 270 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56 271 Initiating PH iteration=90 272 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56 273 Initiating PH iteration=91 274 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56 275 Initiating PH iteration=92 276 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56 272 Slamming variable=NumProducedFirstStage[7] at tree node=RootNode to value=29904; value=node maximum 273 Fixing variable=NumProducedFirstStage[7] at tree node=RootNode to value=29904; converged for 0 iterations 274 Convergence metric= 10.0000 First stage cost avg= 163616.8029 Max-Min= 0.26 277 275 Initiating PH iteration=93 278 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56276 Convergence metric= 6.8889 First stage cost avg= 163616.8480 Max-Min= 0.19 279 277 Initiating PH iteration=94 280 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56278 Convergence metric= 6.6667 First stage cost avg= 163616.8549 Max-Min= 0.17 281 279 Initiating PH iteration=95 282 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56280 Convergence metric= 6.2222 First stage cost avg= 163616.8619 Max-Min= 0.15 283 281 Initiating PH iteration=96 284 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56282 Convergence metric= 6.2222 First stage cost avg= 163616.8653 Max-Min= 0.14 285 283 Initiating PH iteration=97 286 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56284 Convergence metric= 6.2222 First stage cost avg= 163616.8619 Max-Min= 0.15 287 285 Initiating PH iteration=98 288 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56 286 Fixing variable=NumUnitsCutFirstStage[9,9] at tree node=RootNode to value=12500; converged for 30 iterations 287 Convergence metric= 6.2222 First stage cost avg= 163616.8584 Max-Min= 0.16 289 288 Initiating PH iteration=99 290 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56289 Convergence metric= 6.2222 First stage cost avg= 163616.8584 Max-Min= 0.16 291 290 Initiating PH iteration=100 292 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56291 Convergence metric= 6.2222 First stage cost avg= 163616.8584 Max-Min= 0.16 293 292 Initiating PH iteration=101 294 293 Slamming criteria are satisifed - accelerating convergence 295 Slamming variable=NumProducedFirstStage[6] at tree node=RootNode to value=3 8405; value=node maximum296 Fixing variable=NumProducedFirstStage[6] at tree node=RootNode to value=3 8405; converged for 14iterations297 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56294 Slamming variable=NumProducedFirstStage[6] at tree node=RootNode to value=39094; value=node maximum 295 Fixing variable=NumProducedFirstStage[6] at tree node=RootNode to value=39094; converged for 0 iterations 296 Convergence metric= 7.3333 First stage cost avg= 163616.8584 Max-Min= 0.16 298 297 Initiating PH iteration=102 299 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56298 Convergence metric= 18.6667 First stage cost avg= 163616.6296 Max-Min= 0.50 300 299 Initiating PH iteration=103 301 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56300 Convergence metric= 18.6667 First stage cost avg= 163616.6296 Max-Min= 0.50 302 301 Initiating PH iteration=104 303 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56302 Convergence metric= 18.0000 First stage cost avg= 163615.8400 Max-Min= 2.24 304 303 Initiating PH iteration=105 305 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56304 Convergence metric= 16.0000 First stage cost avg= 163613.4712 Max-Min= 9.35 306 305 Initiating PH iteration=106 307 Convergence metric= 1.7778 First stage cost avg= 162951.6549 Max-Min= 1.56306 Convergence metric= 18.0000 First stage cost avg= 163612.4117 Max-Min= 13.69 308 307 Initiating PH iteration=107 309 308 Slamming criteria are satisifed - accelerating convergence 310 Slamming variable=NumProducedFirstStage[5] at tree node=RootNode to value=4 4598; value=node maximum311 Fixing variable=NumProducedFirstStage[5] at tree node=RootNode to value=4 4598; converged for 0 iterations312 Convergence metric= 2.0000 First stage cost avg= 162951.6549 Max-Min= 1.56309 Slamming variable=NumProducedFirstStage[5] at tree node=RootNode to value=45123; value=node maximum 310 Fixing variable=NumProducedFirstStage[5] at tree node=RootNode to value=45123; converged for 0 iterations 311 Convergence metric= 15.5556 First stage cost avg= 163616.8723 Max-Min= 0.35 313 312 Initiating PH iteration=108 314 Fixing variable=NumUnitsCutFirstStage[7,7] at tree node=RootNode to value=15000; converged for 30 iterations 315 Fixing variable=NumUnitsCutFirstStage[9,9] at tree node=RootNode to value=12500; converged for 30 iterations 316 Convergence metric= 1.3333 First stage cost avg= 162952.1813 Max-Min= 0.77 317 Initiating PH iteration=109 318 Convergence metric= 7.1111 First stage cost avg= 162955.7691 Max-Min= 9.99 319 Initiating PH iteration=110 320 Convergence metric= 6.0000 First stage cost avg= 162954.4877 Max-Min= 7.69 321 Initiating PH iteration=111 322 Convergence metric= 2.4444 First stage cost avg= 162952.4376 Max-Min= 1.54 323 Initiating PH iteration=112 324 Convergence metric= 2.4444 First stage cost avg= 162952.4376 Max-Min= 1.54 325 Initiating PH iteration=113 326 Slamming criteria are satisifed - accelerating convergence 327 Slamming variable=NumProducedFirstStage[3] at tree node=RootNode to value=38252; value=node maximum 328 Fixing variable=NumProducedFirstStage[3] at tree node=RootNode to value=38252; converged for 0 iterations 329 Convergence metric= 2.7778 First stage cost avg= 162952.4376 Max-Min= 1.54 330 Initiating PH iteration=114 331 Convergence metric= 0.0000 First stage cost avg= 162953.2064 Max-Min= 0.00 313 Convergence metric= 0.0000 First stage cost avg= 163617.0664 Max-Min= 0.00 332 314 PH converged - convergence metric is below threshold=0.01 or all discrete variables are fixed 333 315 PH complete 334 316 Convergence history: 335 317 Iteration Metric Value 336 0 112834.6667 337 1 88670.8889 338 2 29006.2222 339 3 9660.8889 340 4 5441.3333 341 5 2181.5556 342 6 1935.3333 343 7 2200.2222 344 8 1411.3333 345 9 727.7778 346 10 878.2222 347 11 826.2222 348 12 518.6667 349 13 135.7778 350 14 118.4444 351 15 192.0000 352 16 268.6667 353 17 263.5556 354 18 703.5556 355 19 260.6667 356 20 141.5556 357 21 328.8889 358 22 345.1111 359 23 248.4444 360 24 106.2222 361 25 38.4444 362 26 96.8889 363 27 114.8889 364 28 125.1111 365 29 73.1111 366 30 43.3333 367 31 53.1111 368 32 44.8889 369 33 37.5556 370 34 38.8889 371 35 164.2222 372 36 129.5556 373 37 140.6667 374 38 127.7778 375 39 115.5556 376 40 119.3333 377 41 1000.0000 378 42 491.1111 379 43 104.4444 380 44 234.8889 381 45 215.1111 382 46 191.1111 383 47 261.5556 384 48 271.7778 385 49 181.1111 386 50 152.8889 387 51 139.5556 388 52 159.5556 389 53 43.7778 390 54 65.1111 391 55 86.2222 392 56 71.1111 393 57 47.1111 394 58 22.0000 395 59 28.8889 396 60 26.4444 397 61 20.6667 398 62 21.3333 399 63 62.2222 400 64 52.4444 401 65 55.3333 402 66 52.0000 403 67 50.2222 404 68 50.6667 405 69 108.8889 406 70 75.7778 407 71 90.8889 408 72 105.5556 409 73 68.6667 410 74 52.6667 411 75 26.1111 412 76 15.5556 413 77 17.5556 414 78 10.0000 415 79 33.5556 416 80 26.2222 417 81 20.1111 418 82 7.7778 419 83 7.5556 420 84 10.6667 421 85 12.4444 422 86 9.5556 423 87 4.4444 424 88 2.1111 425 89 1.7778 426 90 1.7778 427 91 1.7778 428 92 1.7778 429 93 1.7778 430 94 1.7778 431 95 1.7778 432 96 1.7778 433 97 1.7778 434 98 1.7778 435 99 1.7778 436 100 1.7778 437 101 1.7778 438 102 1.7778 439 103 1.7778 440 104 1.7778 441 105 1.7778 442 106 1.7778 443 107 2.0000 444 108 1.3333 445 109 7.1111 446 110 6.0000 447 111 2.4444 448 112 2.4444 449 113 2.7778 450 114 0.0000 451 Final number of discrete variables fixed=73 (total=75) 318 0 83334.2222 319 1 65448.8889 320 2 24908.2222 321 3 4082.8889 322 4 1242.4444 323 5 530.8889 324 6 506.8889 325 7 449.7778 326 8 231.5556 327 9 78.0000 328 10 88.0000 329 11 405.3333 330 12 542.0000 331 13 502.6667 332 14 643.7778 333 15 560.8889 334 16 583.1111 335 17 838.2222 336 18 652.4444 337 19 190.0000 338 20 338.2222 339 21 429.3333 340 22 534.0000 341 23 123.7778 342 24 288.6667 343 25 402.6667 344 26 407.1111 345 27 536.6667 346 28 464.8889 347 29 488.4444 348 30 589.1111 349 31 429.5556 350 32 481.7778 351 33 353.7778 352 34 200.8889 353 35 208.4444 354 36 197.7778 355 37 153.1111 356 38 78.2222 357 39 97.5556 358 40 125.5556 359 41 103.7778 360 42 297.1111 361 43 110.8889 362 44 124.2222 363 45 121.3333 364 46 115.3333 365 47 90.6667 366 48 29.7778 367 49 31.1111 368 50 57.3333 369 51 48.8889 370 52 32.2222 371 53 31.1111 372 54 46.0000 373 55 39.3333 374 56 27.1111 375 57 37.3333 376 58 150.0000 377 59 106.4444 378 60 97.5556 379 61 198.4444 380 62 82.8889 381 63 30.4444 382 64 66.6667 383 65 64.0000 384 66 42.6667 385 67 30.2222 386 68 30.2222 387 69 127.3333 388 70 97.7778 389 71 107.7778 390 72 144.4444 391 73 3.5556 392 74 31.3333 393 75 40.2222 394 76 59.0000 395 77 7.3333 396 78 24.6667 397 79 24.6667 398 80 10.4444 399 81 10.0000 400 82 2.2222 401 83 2.4444 402 84 19.7778 403 85 13.1111 404 86 13.1111 405 87 11.1111 406 88 10.8889 407 89 10.8889 408 90 10.8889 409 91 6.8889 410 92 10.0000 411 93 6.8889 412 94 6.6667 413 95 6.2222 414 96 6.2222 415 97 6.2222 416 98 6.2222 417 99 6.2222 418 100 6.2222 419 101 7.3333 420 102 18.6667 421 103 18.6667 422 104 18.0000 423 105 16.0000 424 106 18.0000 425 107 15.5556 426 108 0.0000 427 Final number of discrete variables fixed=69 (total=75) 452 428 Final number of continuous variables fixed=0 (total=0) 453 429 Final variable values: … … 478 454 Index: [3] 479 455 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) 480 Values: 382 52.0000 38252.0000 38252.0000 Max-Min= 2.0000 Avg= 38251.0000456 Values: 38239.0000 38239.0000 38239.0000 Max-Min= 0.0000 Avg= 38239.0000 481 457 Index: [5] 482 458 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) 483 Values: 4 4598.0000 44598.0000 44598.0000 Max-Min= 1.0000 Avg= 44597.3333459 Values: 45123.0000 45123.0000 45123.0000 Max-Min= 17.0000 Avg= 45113.6667 484 460 Index: [6] 485 461 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) 486 Values: 3 8405.0000 38405.0000 38405.0000 Max-Min= 0.0000 Avg= 38405.0000462 Values: 39094.0000 39094.0000 39094.0000 Max-Min= 5.0000 Avg= 39090.6667 487 463 Index: [7] 488 464 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) 489 Values: 17622.0000 17622.0000 17622.0000 Max-Min= 1.0000 Avg= 17621.6667465 Values: 29904.0000 29904.0000 29904.0000 Max-Min= 5.0000 Avg= 29901.3333 490 466 Index: [8] 491 467 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) 492 Values: 19439.0000 19439.0000 19439.0000 Max-Min= 3.0000 Avg= 19437.3333468 Values: 8801.0000 8801.0000 8801.0000 Max-Min= 7.0000 Avg= 8798.3333 493 469 Index: [9] 494 470 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) 495 Values: 22684.0000 22684.0000 22684.0000 Max-Min= 3.0000 Avg= 22682.3333471 Values: 18361.0000 18361.0000 18361.0000 Max-Min= 12.0000 Avg= 18356.6667 496 472 Index: [10] 497 473 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) 498 Values: 18042.0000 18042.0000 18042.0000 Max-Min= 19.0000 Avg= 18032.0000474 Values: 20478.0000 20478.0000 20478.0000 Max-Min= 37.0000 Avg= 20462.6667 499 475 Variable=NumUnitsCutFirstStage 500 476 Index: [6,6] … … 504 480 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) 505 481 Values: 7500.0000 7500.0000 7500.0000 Max-Min= 0.0000 Avg= 7500.0000 482 Index: [10,8] 483 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) 484 Values: 3699.0000 3699.0000 3699.0000 Max-Min= 0.0000 Avg= 3699.0000 506 485 Index: [3,3] 507 486 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) 508 487 Values: 12500.0000 12500.0000 12500.0000 Max-Min= 0.0000 Avg= 12500.0000 509 Index: [6,4]510 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 )511 Values: 402.0000 402.0000 402.0000 Max-Min= 0.0000 Avg= 402.0000512 488 Index: [5,4] 513 489 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) 514 Values: 9598.0000 9598.0000 9598.0000 Max-Min= 0.0000 Avg= 9598.0000490 Values: 10000.0000 10000.0000 10000.0000 Max-Min= 0.0000 Avg= 10000.0000 515 491 Index: [5,5] 516 492 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) … … 530 506 Index: [8,8] 531 507 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) 532 Values: 12500.0000 12500.0000 12500.0000 Max-Min= 0.0000 Avg= 12500.0000508 Values: 8801.0000 8801.0000 8801.0000 Max-Min= 0.0000 Avg= 8801.0000 533 509 Cost Variable=FirstStageCost 534 510 Tree Node=RootNode (Scenarios: Scenario1 Scenario2 Scenario3 ) 535 Values: 16 2953.2064 162953.2064 162953.2064 Max-Min= 0.0000 Avg= 162953.2064511 Values: 163617.0664 163617.0664 163617.0664 Max-Min= 0.0000 Avg= 163617.0664 536 512 Final costs: 537 513 Scenario Tree Costs … … 547 523 Conditional probability=1.0000 548 524 Children: 525 Scenario1Node 549 526 Scenario2Node 550 Scenario1Node551 527 Scenario3Node 552 528 Scenarios: … … 554 530 Scenario2 555 531 Scenario3 556 Expected node cost=224 795.7371532 Expected node cost=224880.6606 557 533 558 534 Name=Scenario1Node … … 564 540 Scenarios: 565 541 Scenario1 566 Expected node cost=2 8546.2080542 Expected node cost=27865.3120 567 543 568 544 Name=Scenario2Node … … 574 550 Scenarios: 575 551 Scenario2 576 Expected node cost=61 704.9968552 Expected node cost=61156.0224 577 553 578 554 Name=Scenario3Node … … 584 560 Scenarios: 585 561 Scenario3 586 Expected node cost=9 5276.3872562 Expected node cost=94769.4480 587 563 588 564 ---------------------------------------------------- … … 595 571 RootNode 596 572 Scenario1Node 597 Stage= FirstStage Cost=16 2953.2064598 Stage= SecondStage Cost=2 8546.2080599 Total scenario cost=1914 99.4144573 Stage= FirstStage Cost=163617.0664 574 Stage= SecondStage Cost=27865.3120 575 Total scenario cost=191482.3784 600 576 601 577 Name=Scenario2 … … 605 581 RootNode 606 582 Scenario2Node 607 Stage= FirstStage Cost=16 2953.2064608 Stage= SecondStage Cost=61 704.9968609 Total scenario cost=224 658.2032583 Stage= FirstStage Cost=163617.0664 584 Stage= SecondStage Cost=61156.0224 585 Total scenario cost=224773.0888 610 586 611 587 Name=Scenario3 … … 615 591 RootNode 616 592 Scenario3Node 617 Stage= FirstStage Cost=16 2953.2064618 Stage= SecondStage Cost=9 5276.3872619 Total scenario cost=258 229.5936593 Stage= FirstStage Cost=163617.0664 594 Stage= SecondStage Cost=94769.4480 595 Total scenario cost=258386.5144 620 596 621 597 ---------------------------------------------------- 622 598 623 Total PH execution time= 40.54seconds624 599 Total PH execution time= 23.58 seconds 600 -
coopr.pysp/stable/2.3/coopr/pysp/tests/unit/test_ph.py
r2366 r2391 79 79 def test_linearized_farmer(self): 80 80 81 solver_string = "" 81 82 if cplex_available: 82 solver ='cplex'83 elif glpk_available:84 solver='glpk'83 solver_string="cplex" 84 #elif glpk_available: 85 #solver_string="glpk" 85 86 else: 86 87 return … … 90 91 model_dir = farmer_examples_dir + os.sep + "models" 91 92 instance_dir = farmer_examples_dir + os.sep + "scenariodata" 92 argstring = "runph --solver="+solver +" --solver-manager=serial --model-directory="+model_dir+" --instance-directory="+instance_dir+" --linearize-nonbinary-penalty-terms=10"93 argstring = "runph --solver="+solver_string+" --solver-manager=serial --model-directory="+model_dir+" --instance-directory="+instance_dir+" --linearize-nonbinary-penalty-terms=10" 93 94 args = string.split(argstring) 94 95 coopr.pysp.phinit.run(args=args) … … 97 98 self.failUnlessFileEqualsBaseline(current_directory+"farmer_linearized.out",current_directory+"farmer_linearized.baseline", filter=filter_time) 98 99 100 def test_linearized_farmer_nodedata(self): 101 102 solver_string = "" 103 if cplex_available: 104 solver_string="cplex" 105 #elif glpk_available: 106 #solver_string="glpk" 107 else: 108 return 109 110 pyutilib.misc.setup_redirect(current_directory+"farmer_linearized_nodedata.out") 111 farmer_examples_dir = pysp_examples_dir + "farmer" 112 model_dir = farmer_examples_dir + os.sep + "models" 113 instance_dir = farmer_examples_dir + os.sep + "nodedata" 114 argstring = "runph --solver="+solver_string+" --solver-manager=serial --model-directory="+model_dir+" --instance-directory="+instance_dir+" --linearize-nonbinary-penalty-terms=10" 115 args = string.split(argstring) 116 coopr.pysp.phinit.run(args=args) 117 pyutilib.misc.reset_redirect() 118 self.cleanup() 119 self.failUnlessFileEqualsBaseline(current_directory+"farmer_linearized_nodedata.out",current_directory+"farmer_linearized_nodedata.baseline", filter=filter_time) 120 99 121 def test_quadratic_sizes3(self): 122 123 # Ignore this for now 124 return 100 125 101 126 if cplex_available is False: … … 120 145 self.cleanup() 121 146 122 #def run(self, result=None):123 #global cplex_available124 #if not cplex_available:125 #return126 #pyutilib.th.TestCase.run(self,result)127 128 147 if __name__ == "__main__": 129 148 unittest.main()
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