Repo: pymc3
Filename: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/projects/pymc3/pymc3/tests/test_posteriors.py
ClassName: TestNUTSLKJCholeskyCov
Testname: test_kstest
Params: n_samples,99,16,ParamType.ITER,2000
tune,100,11,ParamType.ITER,1000
burn,101,11,ParamType.ITER,0
chains,102,13,ParamType.CHAINS,2
Assertion: assert (p > self.alpha)
Original runtime: 24.916
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'n_samples': 2000, 'tune': 1000, 'burn': 0, 'chains': 2}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_2000_1000_0_2
Launching 30 jobs, 30 in parallel
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Timings: Avg: 27.71633333333333, Max: 32.95, Min: 25.22
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 27.71633333333333, Max: 32.95, Min: 25.22
Variance (6.933347799794049e-33) too small, using delta distribution
Variance (4.930380657631324e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.71633333333333
Score: 27.71633333333333
Best-score: 27.71633333333333
Best-param: {'n_samples': 2000, 'tune': 1000, 'burn': 0, 'chains': 2}
>>Setting original runtime to 27.71633333333333
Optimization Iteration: 1
Running with params: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_20_1_200_1480
Launching 30 jobs, 30 in parallel
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Timings: Avg: 21.812, Max: 25.509999999999998, Min: 20.5
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 21.812, Max: 25.509999999999998, Min: 20.5
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 21.812
Score: 21.812
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 2
Running with params: {'burn': 40, 'chains': 4, 'n_samples': 6000, 'tune': 890}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_40_4_6000_890
Launching 30 jobs, 30 in parallel
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Timings: Avg: 77.36866666666668, Max: 90.34, Min: 56.81
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 77.36866666666668, Max: 90.34, Min: 56.81
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 77.36866666666668
Score: 77.36866666666668
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 3
Running with params: {'burn': 10, 'chains': None, 'n_samples': 3100, 'tune': 340}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_10_None_3100_340
Launching 30 jobs, 30 in parallel
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Timings: Avg: 48.67733333333332, Max: 57.87, Min: 38.25
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 48.67733333333332, Max: 57.87, Min: 38.25
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 48.67733333333332
Score: 48.67733333333332
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 4
Running with params: {'burn': 470, 'chains': 5, 'n_samples': 700, 'tune': 3910}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_470_5_700_3910
Launching 30 jobs, 30 in parallel
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Timings: Avg: 61.633333333333326, Max: 79.17999999999999, Min: 51.46
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 61.633333333333326, Max: 79.17999999999999, Min: 51.46
Variance (0.0) too small, using delta distribution
Variance (4.930380657631324e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 61.633333333333326
Score: 61.633333333333326
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 5
Running with params: {'burn': 10, 'chains': 4, 'n_samples': 1100, 'tune': 2210}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_10_4_1100_2210
Launching 30 jobs, 30 in parallel
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Timings: Avg: 44.373999999999995, Max: 56.08, Min: 37.9
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 44.373999999999995, Max: 56.08, Min: 37.9
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 44.373999999999995
Score: 44.373999999999995
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 6
Running with params: {'burn': 70, 'chains': 3, 'n_samples': 1700, 'tune': 930}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_70_3_1700_930
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.10666666666666, Max: 40.08, Min: 29.9
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 34.10666666666666, Max: 40.08, Min: 29.9
Variance (4.930380657631324e-32) too small, using delta distribution
Variance (6.933347799794049e-33) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.10666666666666
Score: 34.10666666666666
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 7
Running with params: {'burn': 300, 'chains': 1, 'n_samples': 100, 'tune': 110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_300_1_100_110
Launching 30 jobs, 30 in parallel
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Timings: Avg: 19.028666666666666, Max: 19.86, Min: 18.4
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 8
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 300, 'tune': 400}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_10_3_300_400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.10133333333333, Max: 26.63, Min: 22.41
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 24.10133333333333, Max: 26.63, Min: 22.41
Variance (1.232595164407831e-32) too small, using delta distribution
Variance (4.930380657631324e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 24.10133333333333
Score: 24.10133333333333
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 9
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 5000, 'tune': 2270}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_10_1_5000_2270
Launching 30 jobs, 30 in parallel
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Timings: Avg: 40.077999999999996, Max: 48.940000000000005, Min: 33.87
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 40.077999999999996, Max: 48.940000000000005, Min: 33.87
Variance (4.930380657631324e-32) too small, using delta distribution
Variance (1.1093356479670479e-31) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 40.077999999999996
Score: 40.077999999999996
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 10
Running with params: {'burn': 390, 'chains': None, 'n_samples': 4800, 'tune': 610}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_390_None_4800_610
Launching 30 jobs, 30 in parallel
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Timings: Avg: 66.54266666666666, Max: 76.38999999999999, Min: 48.83
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 66.54266666666666, Max: 76.38999999999999, Min: 48.83
Variance (1.1093356479670479e-31) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 66.54266666666666
Score: 66.54266666666666
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 11
Running with params: {'burn': 30, 'chains': 1, 'n_samples': 800, 'tune': 1130}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_30_1_800_1130
Launching 30 jobs, 30 in parallel
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Timings: Avg: 23.554000000000006, Max: 26.560000000000002, Min: 22.240000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 23.554000000000006, Max: 26.560000000000002, Min: 22.240000000000002
Variance (1.232595164407831e-32) too small, using delta distribution
Variance (1.1093356479670479e-31) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 23.554000000000006
Score: 23.554000000000006
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 12
Running with params: {'burn': 10, 'chains': 6, 'n_samples': 5900, 'tune': 140}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_10_6_5900_140
Launching 30 jobs, 30 in parallel
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Timings: Avg: 132.26366666666667, Max: 164.84, Min: 94.95
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 132.26366666666667, Max: 164.84, Min: 94.95
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 132.26366666666667
Score: 132.26366666666667
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 13
Running with params: {'burn': 980, 'chains': 4, 'n_samples': 1300, 'tune': 1950}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_980_4_1300_1950
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Timings: Avg: 46.38333333333333, Max: 56.05, Min: 38.43
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 46.38333333333333, Max: 56.05, Min: 38.43
Variance (1.1093356479670479e-31) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 46.38333333333333
Score: 46.38333333333333
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 14
Running with params: {'burn': 490, 'chains': 5, 'n_samples': 600, 'tune': 790}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_490_5_600_790
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.37199999999999, Max: 42.02, Min: 30.69
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 36.37199999999999, Max: 42.02, Min: 30.69
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (4.930380657631324e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.37199999999999
Score: 36.37199999999999
Best-score: 21.812
Best-param: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1480}
Optimization Iteration: 15
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_10_1_300_200
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Timings: Avg: 19.91333333333333, Max: 21.84, Min: 18.95
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 19.91333333333333, Max: 21.84, Min: 18.95
Variance (6.933347799794049e-33) too small, using delta distribution
Variance (4.930380657631324e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 19.91333333333333
Score: 19.91333333333333
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 16
Running with params: {'burn': 10, 'chains': 5, 'n_samples': 1100, 'tune': 4320}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_10_5_1100_4320
Launching 30 jobs, 30 in parallel
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Timings: Avg: 79.64666666666669, Max: 97.39999999999999, Min: 59.760000000000005
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 79.64666666666669, Max: 97.39999999999999, Min: 59.760000000000005
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (4.930380657631324e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 79.64666666666669
Score: 79.64666666666669
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 17
Running with params: {'burn': 520, 'chains': None, 'n_samples': 200, 'tune': 3670}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_520_None_200_3670
Launching 30 jobs, 30 in parallel
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Timings: Avg: 50.88533333333335, Max: 65.96, Min: 42.28
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 18
Running with params: {'burn': 20, 'chains': 1, 'n_samples': 4500, 'tune': 3290}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_20_1_4500_3290
Launching 30 jobs, 30 in parallel
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Timings: Avg: 40.76099999999999, Max: 52.78, Min: 35.19
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 40.76099999999999, Max: 52.78, Min: 35.19
Variance (4.930380657631324e-32) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 40.76099999999999
Score: 40.76099999999999
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 19
Running with params: {'burn': 0, 'chains': 6, 'n_samples': 200, 'tune': 380}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_6_200_380
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.145, Max: 34.47, Min: 28.27
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 30.145, Max: 34.47, Min: 28.27
Variance (1.232595164407831e-32) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 30.145
Score: 30.145
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Upto iteration 50: {'burn': 10.0, 'chains': 0, 'n_samples': 300.0, 'tune': 200.0}
Optimization Iteration: 20
Running with params: {'burn': 70, 'chains': 4, 'n_samples': 2000, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_70_4_2000_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 62.52566666666666, Max: 80.57000000000001, Min: 49.339999999999996
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 62.52566666666666, Max: 80.57000000000001, Min: 49.339999999999996
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 62.52566666666666
Score: 62.52566666666666
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 21
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 400, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_2_400_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 22.889333333333337, Max: 25.110000000000003, Min: 21.990000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 22.889333333333337, Max: 25.110000000000003, Min: 21.990000000000002
Variance (0.0) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 22.889333333333337
Score: 22.889333333333337
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 22
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 1450}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_1_100_1450
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.12166666666667, Max: 26.91, Min: 22.119999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 24.12166666666667, Max: 26.91, Min: 22.119999999999997
Variance (4.930380657631324e-32) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 24.12166666666667
Score: 24.12166666666667
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 23
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 200, 'tune': 210}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_1_200_210
Launching 30 jobs, 30 in parallel
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Timings: Avg: 20.704, Max: 22.61, Min: 19.65
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 20.704, Max: 22.61, Min: 19.65
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (6.933347799794049e-33) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 20.704
Score: 20.704
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 24
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 400, 'tune': 210}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_2_400_210
Launching 30 jobs, 30 in parallel
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Timings: Avg: 23.096999999999994, Max: 25.03, Min: 21.79
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 23.096999999999994, Max: 25.03, Min: 21.79
Variance (1.232595164407831e-32) too small, using delta distribution
Variance (4.930380657631324e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 23.096999999999994
Score: 23.096999999999994
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 25
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 240}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_1_100_240
Launching 30 jobs, 30 in parallel
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Timings: Avg: 20.563333333333333, Max: 21.3, Min: 19.6
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 20.563333333333333, Max: 21.3, Min: 19.6
Variance (4.930380657631324e-32) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 20.563333333333333
Score: 20.563333333333333
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 26
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 510}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_1_100_510
Launching 30 jobs, 30 in parallel
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Timings: Avg: 22.0, Max: 23.91, Min: 20.32
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 22.0, Max: 23.91, Min: 20.32
Variance (1.1093356479670479e-31) too small, using delta distribution
Variance (1.1093356479670479e-31) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 22.0
Score: 22.0
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 27
Running with params: {'burn': 0, 'chains': 6, 'n_samples': 100, 'tune': 280}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_6_100_280
Launching 30 jobs, 30 in parallel
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Timings: Avg: 28.307000000000006, Max: 32.57, Min: 27.11
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 28.307000000000006, Max: 32.57, Min: 27.11
Variance (4.930380657631324e-32) too small, using delta distribution
Variance (4.930380657631324e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 28.307000000000006
Score: 28.307000000000006
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 28
Running with params: {'burn': 130, 'chains': 1, 'n_samples': 300, 'tune': 150}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_130_1_300_150
Launching 30 jobs, 30 in parallel
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Timings: Avg: 21.669999999999995, Max: 23.13, Min: 21.31
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 21.669999999999995, Max: 23.13, Min: 21.31
Variance (1.0833355937178202e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 21.669999999999995
Score: 21.669999999999995
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 29
Running with params: {'burn': 0, 'chains': 3, 'n_samples': 100, 'tune': 150}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_3_100_150
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.451999999999998, Max: 26.35, Min: 22.4
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 24.451999999999998, Max: 26.35, Min: 22.4
Variance (1.232595164407831e-32) too small, using delta distribution
Variance (4.930380657631324e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 24.451999999999998
Score: 24.451999999999998
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 30
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 300, 'tune': 260}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_2_300_260
Launching 30 jobs, 30 in parallel
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Timings: Avg: 23.010333333333335, Max: 25.45, Min: 22.259999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 23.010333333333335, Max: 25.45, Min: 22.259999999999998
Variance (1.1093356479670479e-31) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 23.010333333333335
Score: 23.010333333333335
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 31
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 500, 'tune': 510}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_1_500_510
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.033, Max: 25.860000000000003, Min: 22.82
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 24.033, Max: 25.860000000000003, Min: 22.82
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 24.033
Score: 24.033
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 32
Running with params: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 120}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_20_1_200_120
Launching 30 jobs, 30 in parallel
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Timings: Avg: 22.132, Max: 23.55, Min: 21.479999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 22.132, Max: 23.55, Min: 21.479999999999997
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 22.132
Score: 22.132
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 33
Running with params: {'burn': 0, 'chains': None, 'n_samples': 100, 'tune': 290}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_None_100_290
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.886333333333337, Max: 30.58, Min: 25.049999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 26.886333333333337, Max: 30.58, Min: 25.049999999999997
Variance (1.232595164407831e-32) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 26.886333333333337
Score: 26.886333333333337
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 34
Running with params: {'burn': 0, 'chains': 5, 'n_samples': 200, 'tune': 180}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_5_200_180
Launching 30 jobs, 30 in parallel
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Timings: Avg: 28.542666666666666, Max: 32.61, Min: 26.07
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 28.542666666666666, Max: 32.61, Min: 26.07
Variance (2.7733391199176196e-32) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 28.542666666666666
Score: 28.542666666666666
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 35
Running with params: {'burn': 140, 'chains': 1, 'n_samples': 100, 'tune': 450}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_140_1_100_450
Launching 30 jobs, 30 in parallel
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Timings: Avg: 21.921, Max: 22.409999999999997, Min: 21.340000000000003
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 36
Running with params: {'burn': 1920, 'chains': 4, 'n_samples': 8000, 'tune': 680}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_1920_4_8000_680
Launching 30 jobs, 30 in parallel
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Timings: Avg: 98.42366666666668, Max: 115.16, Min: 73.51
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 98.42366666666668, Max: 115.16, Min: 73.51
Variance (4.930380657631324e-32) too small, using delta distribution
Variance (4.930380657631324e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 98.42366666666668
Score: 98.42366666666668
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 37
Running with params: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 330}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_20_3_400_330
Launching 30 jobs, 30 in parallel
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Timings: Avg: 25.370000000000005, Max: 26.04, Min: 24.87
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 25.370000000000005, Max: 26.04, Min: 24.87
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 25.370000000000005
Score: 25.370000000000005
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 38
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 800, 'tune': 130}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_0_1_800_130
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.358333333333334, Max: 26.720000000000002, Min: 22.889999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 24.358333333333334, Max: 26.720000000000002, Min: 22.889999999999997
Variance (4.930380657631324e-32) too small, using delta distribution
Variance (1.88079096131566e-37) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 24.358333333333334
Score: 24.358333333333334
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 39
Running with params: {'burn': 40, 'chains': 2, 'n_samples': 100, 'tune': 240}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_40_2_100_240
Launching 30 jobs, 30 in parallel
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Timings: Avg: 23.532666666666664, Max: 25.55, Min: 22.28
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 23.532666666666664, Max: 25.55, Min: 22.28
Variance (1.232595164407831e-32) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 23.532666666666664
Score: 23.532666666666664
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 40
Running with params: {'burn': 10, 'chains': 6, 'n_samples': 2100, 'tune': 170}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_10_6_2100_170
Launching 30 jobs, 30 in parallel
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Timings: Avg: 54.602999999999994, Max: 73.06, Min: 47.14
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 54.602999999999994, Max: 73.06, Min: 47.14
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 54.602999999999994
Score: 54.602999999999994
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Optimization Iteration: 41
Running with params: {'burn': 70, 'chains': None, 'n_samples': 300, 'tune': 1130}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598265656/assert_66236811_70_None_300_1130
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.089000000000006, Max: 42.04, Min: 31.68
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 36.089000000000006, Max: 42.04, Min: 31.68
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.089000000000006
Score: 36.089000000000006
Best-score: 19.91333333333333
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 200}
Upto iteration 100: {'burn': 10.0, 'chains': 0, 'n_samples': 300.0, 'tune': 200.0}
Breaking...
{'burn': 10.0, 'chains': 0, 'n_samples': 300.0, 'tune': 200.0}
Best score: 19.91333333333333
Repeated params: 0
Trials: 42
Best param {'burn': 10.0, 'chains': 0, 'n_samples': 300.0, 'tune': 200.0}
Reduction: 28.153074601017455%
Speedup: 1.3918480080348177x
Optimizer time: 12427.406430006027
