Repo: pymc3
Filename: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/projects/pymc3/pymc3/tests/test_posteriors.py
ClassName: TestNUTSNormal
Testname: test_mean
Params: n_samples,59,16,ParamType.ITER,10000
tune,60,11,ParamType.ITER,1000
burn,61,11,ParamType.ITER,0
chains,62,13,ParamType.CHAINS,2
Assertion: npt.assert_allclose(expected, samples.mean(0), rtol=0.1, atol=0.05)
Original runtime: 25.727999999999998
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'n_samples': 10000, '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_1598228078/assert_93843589_10000_1000_0_2
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 19...
Iter 17...
Iter 18...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 22.936666666666664, Max: 27.73, Min: 19.33
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 22.936666666666664, Max: 27.73, Min: 19.33
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) 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: 22.936666666666664
Score: 22.936666666666664
Best-score: 22.936666666666664
Best-param: {'n_samples': 10000, 'tune': 1000, 'burn': 0, 'chains': 2}
>>Setting original runtime to 22.936666666666664
Optimization Iteration: 1
Running with params: {'burn': 20, 'chains': 6, 'n_samples': 5200, 'tune': 810}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_20_6_5200_810
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 12...
Iter 11...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 30.576666666666668, Max: 40.56, Min: 27.89
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 30.576666666666668, Max: 40.56, Min: 27.89
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) 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: 30.576666666666668
Score: 30.576666666666668
Best-score: 22.936666666666664
Best-param: {'n_samples': 10000, 'tune': 1000, 'burn': 0, 'chains': 2}
Optimization Iteration: 2
Running with params: {'burn': 630, 'chains': 5, 'n_samples': 1300, 'tune': 310}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_630_5_1300_310
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 11.279, Max: 12.62, Min: 10.66
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.279, Max: 12.62, Min: 10.66
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) 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: 11.279
Score: 11.279
Best-score: 11.279
Best-param: {'burn': 630, 'chains': 5, 'n_samples': 1300, 'tune': 310}
Optimization Iteration: 3
Running with params: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_10_4_700_200
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 8.446, Max: 8.6, Min: 8.23
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.446, Max: 8.6, Min: 8.23
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 8.446
Score: 8.446
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 4
Running with params: {'burn': 50, 'chains': 4, 'n_samples': 700, 'tune': 1120}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_50_4_700_1120
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 11.312999999999999, Max: 12.21, Min: 10.75
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.312999999999999, Max: 12.21, Min: 10.75
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 11.312999999999999
Score: 11.312999999999999
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 5
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 6000, 'tune': 230}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_10_3_6000_230
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 20.837333333333333, Max: 25.91, Min: 18.61
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 20.837333333333333, Max: 25.91, Min: 18.61
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 20.837333333333333
Score: 20.837333333333333
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 6
Running with params: {'burn': 30, 'chains': 3, 'n_samples': 900, 'tune': 2100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_30_3_900_2100
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 12.893666666666665, Max: 14.48, Min: 12.08
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 12.893666666666665, Max: 14.48, Min: 12.08
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 12.893666666666665
Score: 12.893666666666665
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 7
Running with params: {'burn': 0, 'chains': 4, 'n_samples': 400, 'tune': 1010}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_4_400_1010
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 10.217000000000002, Max: 10.36, Min: 9.96
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 10.217000000000002, Max: 10.36, Min: 9.96
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (1.925929944387236e-34) 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: 10.217000000000002
Score: 10.217000000000002
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 8
Running with params: {'burn': 400, 'chains': None, 'n_samples': 4200, 'tune': 280}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_400_None_4200_280
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 19.160666666666664, Max: 23.48, Min: 17.41
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 19.160666666666664, Max: 23.48, Min: 17.41
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 19.160666666666664
Score: 19.160666666666664
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 9
Running with params: {'burn': 0, 'chains': 3, 'n_samples': 2100, 'tune': 1580}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_3_2100_1580
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 14.265333333333333, Max: 15.95, Min: 13.3
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 14.265333333333333, Max: 15.95, Min: 13.3
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) 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: 14.265333333333333
Score: 14.265333333333333
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 10
Running with params: {'burn': 0, 'chains': 4, 'n_samples': 900, 'tune': 710}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_4_900_710
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 10.89466666666667, Max: 11.3, Min: 10.79
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 10.89466666666667, Max: 11.3, Min: 10.79
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 10.89466666666667
Score: 10.89466666666667
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 11
Running with params: {'burn': 1180, 'chains': 3, 'n_samples': 400, 'tune': 130}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_1180_3_400_130
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Timings: Avg: 7.734999999999999, Max: 7.87, Min: 7.56
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: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 12
Running with params: {'burn': 50, 'chains': 3, 'n_samples': 700, 'tune': 2230}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_50_3_700_2230
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 12.906333333333334, Max: 14.07, Min: 12.49
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 12.906333333333334, Max: 14.07, Min: 12.49
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) 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: 12.906333333333334
Score: 12.906333333333334
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 13
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 3300, 'tune': 4920}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_10_1_3300_4920
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 13.21366666666667, Max: 15.82, Min: 12.71
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.21366666666667, Max: 15.82, Min: 12.71
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) 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: 13.21366666666667
Score: 13.21366666666667
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 14
Running with params: {'burn': 60, 'chains': 6, 'n_samples': 7700, 'tune': 2230}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_60_6_7700_2230
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 58.80166666666667, Max: 68.92, Min: 43.980000000000004
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 58.80166666666667, Max: 68.92, Min: 43.980000000000004
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) 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: 58.80166666666667
Score: 58.80166666666667
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 15
Running with params: {'burn': 0, 'chains': None, 'n_samples': 1300, 'tune': 2850}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_None_1300_2850
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 17...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 20.324999999999996, Max: 23.56, Min: 18.0
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 20.324999999999996, Max: 23.56, Min: 18.0
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) 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: 20.324999999999996
Score: 20.324999999999996
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 16
Running with params: {'burn': 560, 'chains': 2, 'n_samples': 200, 'tune': 480}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_560_2_200_480
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Timings: Avg: 7.8066666666666675, Max: 7.91, Min: 7.59
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: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 17
Running with params: {'burn': 40, 'chains': 6, 'n_samples': 300, 'tune': 3230}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_40_6_300_3230
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 24.312, Max: 30.74, Min: 21.57
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 24.312, Max: 30.74, Min: 21.57
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 24.312
Score: 24.312
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 18
Running with params: {'burn': 70, 'chains': 2, 'n_samples': 100, 'tune': 4170}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_70_2_100_4170
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 13.546666666666665, Max: 15.12, Min: 12.82
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.546666666666665, Max: 15.12, Min: 12.82
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 13.546666666666665
Score: 13.546666666666665
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 19
Running with params: {'burn': 180, 'chains': None, 'n_samples': 1200, 'tune': 3970}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_180_None_1200_3970
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 24.026333333333337, Max: 29.0, Min: 21.38
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 24.026333333333337, Max: 29.0, Min: 21.38
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 24.026333333333337
Score: 24.026333333333337
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 20
Running with params: {'burn': 0, 'chains': None, 'n_samples': 200, 'tune': 210}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_None_200_210
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 8.520333333333333, Max: 8.68, Min: 8.19
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.520333333333333, Max: 8.68, Min: 8.19
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) 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: 8.520333333333333
Score: 8.520333333333333
Best-score: 8.446
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 700, 'tune': 200}
Optimization Iteration: 21
Running with params: {'burn': 10, 'chains': 4, 'n_samples': 100, 'tune': 110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_10_4_100_110
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 8.087333333333335, Max: 8.2, Min: 7.789999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.087333333333335, Max: 8.2, Min: 7.789999999999999
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 8.087333333333335
Score: 8.087333333333335
Best-score: 8.087333333333335
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 100, 'tune': 110}
Optimization Iteration: 22
Running with params: {'burn': 10, 'chains': 4, 'n_samples': 200, 'tune': 110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_10_4_200_110
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 8.438, Max: 8.59, Min: 8.209999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.438, Max: 8.59, Min: 8.209999999999999
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) 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: 8.438
Score: 8.438
Best-score: 8.087333333333335
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 100, 'tune': 110}
Optimization Iteration: 23
Running with params: {'burn': 10, 'chains': 4, 'n_samples': 100, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_10_4_100_100
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 20...
Iter 19...
Iter 21...
Iter 22...
Iter 24...
Iter 23...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 8.026000000000002, Max: 8.129999999999999, Min: 7.92
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.026000000000002, Max: 8.129999999999999, Min: 7.92
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 8.026000000000002
Score: 8.026000000000002
Best-score: 8.026000000000002
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 100, 'tune': 100}
Optimization Iteration: 24
Running with params: {'burn': 0, 'chains': 5, 'n_samples': 100, 'tune': 140}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_5_100_140
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 8.544333333333334, Max: 8.67, Min: 8.22
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.544333333333334, Max: 8.67, Min: 8.22
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (7.52316384526264e-37) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 8.544333333333334
Score: 8.544333333333334
Best-score: 8.026000000000002
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 100, 'tune': 100}
Optimization Iteration: 25
Running with params: {'burn': 20, 'chains': 4, 'n_samples': 100, 'tune': 490}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_20_4_100_490
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 9.362666666666668, Max: 9.48, Min: 9.05
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 9.362666666666668, Max: 9.48, Min: 9.05
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) 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: 9.362666666666668
Score: 9.362666666666668
Best-score: 8.026000000000002
Best-param: {'burn': 10, 'chains': 4, 'n_samples': 100, 'tune': 100}
Optimization Iteration: 26
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_1_100_160
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 7.77, Max: 7.83, Min: 7.61
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 7.77, Max: 7.83, Min: 7.61
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (3.0814879110195774e-33) 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: 7.77
Score: 7.77
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Upto iteration 50: {'burn': 0.0, 'chains': 0, 'n_samples': 100.0, 'tune': 160.0}
Optimization Iteration: 27
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 200, 'tune': 430}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_1_200_430
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 7.860333333333331, Max: 8.129999999999999, Min: 7.7
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: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 28
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 29
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 400, 'tune': 150}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_1_400_150
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 27...
Iter 26...
Iter 29...
Iter 28...
Timings: Avg: 7.974333333333332, Max: 8.07, Min: 7.81
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 7.974333333333332, Max: 8.07, Min: 7.81
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 7.974333333333332
Score: 7.974333333333332
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 30
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 300, 'tune': 350}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_1_300_350
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 29...
Iter 28...
Iter 27...
Timings: Avg: 8.049666666666667, Max: 8.16, Min: 7.75
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.049666666666667, Max: 8.16, Min: 7.75
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) 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: 8.049666666666667
Score: 8.049666666666667
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 31
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_1_100_200
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 7.913666666666667, Max: 8.19, Min: 7.61
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 7.913666666666667, Max: 8.19, Min: 7.61
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-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: 7.913666666666667
Score: 7.913666666666667
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 32
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 200, 'tune': 170}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_1_200_170
Launching 30 jobs, 30 in parallel
Iter 1...
Iter 0...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 13...
Iter 12...
Iter 14...
Iter 16...
Iter 17...
Iter 15...
Iter 18...
Iter 19...
Iter 21...
Iter 20...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 29...
Iter 28...
Iter 27...
Timings: Avg: 8.194666666666667, Max: 8.29, Min: 8.1
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.194666666666667, Max: 8.29, Min: 8.1
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 8.194666666666667
Score: 8.194666666666667
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 33
Running with params: {'burn': 0, 'chains': 5, 'n_samples': 1900, 'tune': 280}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_5_1900_280
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 27...
Iter 26...
Iter 28...
Iter 29...
Timings: Avg: 16.136999999999997, Max: 18.25, Min: 14.67
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 16.136999999999997, Max: 18.25, Min: 14.67
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 16.136999999999997
Score: 16.136999999999997
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 34
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 300, 'tune': 390}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_1_300_390
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 8.690666666666667, Max: 8.83, Min: 8.27
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.690666666666667, Max: 8.83, Min: 8.27
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 8.690666666666667
Score: 8.690666666666667
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 35
Running with params: {'burn': 20, 'chains': 1, 'n_samples': 600, 'tune': 550}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_20_1_600_550
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 9.119666666666665, Max: 9.24, Min: 8.7
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 9.119666666666665, Max: 9.24, Min: 8.7
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-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: 9.119666666666665
Score: 9.119666666666665
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 36
Running with params: {'burn': 150, 'chains': 1, 'n_samples': 100, 'tune': 250}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_150_1_100_250
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 27...
Iter 26...
Iter 29...
Iter 28...
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Timings: Avg: 8.674666666666667, Max: 8.83, Min: 8.51
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: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 37
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 500, 'tune': 1040}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_2_500_1040
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 10.569999999999997, Max: 10.73, Min: 10.200000000000001
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 10.569999999999997, Max: 10.73, Min: 10.200000000000001
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) 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: 10.569999999999997
Score: 10.569999999999997
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 38
Running with params: {'burn': 1610, 'chains': 6, 'n_samples': 100, 'tune': 170}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_1610_6_100_170
Launching 30 jobs, 30 in parallel
Iter 1...
Iter 0...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Timings: Avg: 9.872666666666666, Max: 9.99, Min: 9.52
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: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 39
Running with params: {'burn': 0, 'chains': 5, 'n_samples': 200, 'tune': 810}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_5_200_810
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 12.314666666666662, Max: 12.49, Min: 11.91
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 12.314666666666662, Max: 12.49, Min: 11.91
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 12.314666666666662
Score: 12.314666666666662
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 40
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 330}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_1_100_330
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 10...
Iter 9...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 8.872666666666667, Max: 9.0, Min: 8.49
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.872666666666667, Max: 9.0, Min: 8.49
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (6.770847460736376e-36) 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: 8.872666666666667
Score: 8.872666666666667
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 41
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 2100, 'tune': 1260}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_10_1_2100_1260
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 11.142, Max: 11.3, Min: 10.76
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.142, Max: 11.3, Min: 10.76
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 11.142
Score: 11.142
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 42
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 4000, 'tune': 120}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_1_4000_120
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 12.233, Max: 15.81, Min: 11.700000000000001
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 12.233, Max: 15.81, Min: 11.700000000000001
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) 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: 12.233
Score: 12.233
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 43
Running with params: {'burn': 20, 'chains': 3, 'n_samples': 300, 'tune': 250}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_20_3_300_250
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 19...
Iter 18...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 10.230333333333332, Max: 10.34, Min: 9.85
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 10.230333333333332, Max: 10.34, Min: 9.85
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) 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: 10.230333333333332
Score: 10.230333333333332
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 44
Running with params: {'burn': 0, 'chains': 6, 'n_samples': 1600, 'tune': 620}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_6_1600_620
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 29...
Iter 28...
Iter 27...
Timings: Avg: 19.40533333333333, Max: 22.47, Min: 18.009999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 19.40533333333333, Max: 22.47, Min: 18.009999999999998
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (7.52316384526264e-37) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 19.40533333333333
Score: 19.40533333333333
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 45
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 2900, 'tune': 170}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_2_2900_170
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 26...
Iter 25...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 13.809333333333337, Max: 14.85, Min: 13.13
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.809333333333337, Max: 14.85, Min: 13.13
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 13.809333333333337
Score: 13.809333333333337
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 46
Running with params: {'burn': 100, 'chains': 5, 'n_samples': 900, 'tune': 850}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_100_5_900_850
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 26...
Iter 25...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 15.842666666666666, Max: 17.54, Min: 15.22
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 15.842666666666666, Max: 17.54, Min: 15.22
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) 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: 15.842666666666666
Score: 15.842666666666666
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 47
Running with params: {'burn': 0, 'chains': 3, 'n_samples': 6200, 'tune': 1510}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_3_6200_1510
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 26.669, Max: 32.2, Min: 24.330000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 26.669, Max: 32.2, Min: 24.330000000000002
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) 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: 26.669
Score: 26.669
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 48
Running with params: {'burn': 30, 'chains': None, 'n_samples': 500, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_30_None_500_200
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 28...
Iter 27...
Iter 29...
Timings: Avg: 11.597666666666667, Max: 11.77, Min: 11.13
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.597666666666667, Max: 11.77, Min: 11.13
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (7.52316384526264e-37) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 11.597666666666667
Score: 11.597666666666667
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 49
Running with params: {'burn': 340, 'chains': 1, 'n_samples': 200, 'tune': 280}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_340_1_200_280
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Timings: Avg: 9.802333333333333, Max: 9.92, Min: 9.479999999999999
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: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 50
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_1_100_100
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 9.593, Max: 9.709999999999999, Min: 9.18
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 9.593, Max: 9.709999999999999, Min: 9.18
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (1.925929944387236e-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: 9.593
Score: 9.593
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 51
Running with params: {'burn': 0, 'chains': 6, 'n_samples': 9100, 'tune': 630}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_6_9100_630
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 50.813333333333325, Max: 70.25, Min: 46.269999999999996
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 50.813333333333325, Max: 70.25, Min: 46.269999999999996
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.925929944387236e-34) 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: 50.813333333333325
Score: 50.813333333333325
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 52
Running with params: {'burn': 10, 'chains': 2, 'n_samples': 100, 'tune': 390}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_10_2_100_390
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 11...
Iter 10...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 27...
Iter 26...
Iter 29...
Iter 28...
Timings: Avg: 10.329666666666668, Max: 10.489999999999998, Min: 10.05
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 10.329666666666668, Max: 10.489999999999998, Min: 10.05
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) 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: 10.329666666666668
Score: 10.329666666666668
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 53
Running with params: {'burn': 0, 'chains': None, 'n_samples': 1000, 'tune': 150}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_0_None_1000_150
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 13.319666666666668, Max: 14.049999999999999, Min: 12.73
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.319666666666668, Max: 14.049999999999999, Min: 12.73
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.319666666666668
Score: 13.319666666666668
Best-score: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Optimization Iteration: 54
Running with params: {'burn': 1080, 'chains': 3, 'n_samples': 400, 'tune': 120}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598228078/assert_93843589_1080_3_400_120
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 27...
Iter 26...
Iter 29...
Iter 28...
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Not found ::: 
Timings: Avg: 10.982333333333331, Max: 11.14, Min: 10.51
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: 7.77
Best-param: {'burn': 0, 'chains': 1, 'n_samples': 100, 'tune': 160}
Upto iteration 100: {'burn': 0.0, 'chains': 0, 'n_samples': 100.0, 'tune': 160.0}
Breaking...
{'burn': 0.0, 'chains': 0, 'n_samples': 100.0, 'tune': 160.0}
Best score: 7.77
Repeated params: 1
Trials: 55
Best param {'burn': 0.0, 'chains': 0, 'n_samples': 100.0, 'tune': 160.0}
Reduction: 66.12410986775178%
Speedup: 2.9519519519519517x
Optimizer time: 12487.784099817276
