Repo: pymc3
Filename: /mnt/batch/tasks/workitems/optpymc3_mean/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: 24.464
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'n_samples': 10000, 'tune': 1000, 'burn': 0, 'chains': 2}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_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 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: 20.171666666666667, Max: 26.41, Min: 19.19
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 20.171666666666667, Max: 26.41, Min: 19.19
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: 20.171666666666667
Score: 20.171666666666667
Best-score: 20.171666666666667
Best-param: {'n_samples': 10000, 'tune': 1000, 'burn': 0, 'chains': 2}
>>Setting original runtime to 20.171666666666667
Optimization Iteration: 1
Running with params: {'burn': 270, 'chains': 3, 'n_samples': 1300, 'tune': 860}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_270_3_1300_860
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 12...
Iter 11...
Iter 9...
Iter 13...
Iter 14...
Iter 15...
Iter 17...
Iter 16...
Iter 18...
Iter 19...
Iter 20...
Iter 22...
Iter 21...
Iter 24...
Iter 23...
Iter 27...
Iter 29...
Iter 25...
Iter 26...
Iter 28...
Timings: Avg: 9.924000000000001, Max: 10.18, Min: 9.64
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 9.924000000000001, Max: 10.18, Min: 9.64
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 (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 (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: 9.924000000000001
Score: 9.924000000000001
Best-score: 9.924000000000001
Best-param: {'burn': 270, 'chains': 3, 'n_samples': 1300, 'tune': 860}
Optimization Iteration: 2
Running with params: {'burn': 900, 'chains': 1, 'n_samples': 200, 'tune': 170}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_900_1_200_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 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 29...
Iter 27...
Iter 28...
Iter 26...
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: 5.959333333333333, Max: 6.05, Min: 5.83
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: 9.924000000000001
Best-param: {'burn': 270, 'chains': 3, 'n_samples': 1300, 'tune': 860}
Optimization Iteration: 3
Running with params: {'burn': 40, 'chains': 5, 'n_samples': 200, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_40_5_200_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 18...
Iter 17...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 28...
Iter 27...
Iter 29...
Iter 26...
Timings: Avg: 7.296, Max: 7.41, Min: 7.119999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 7.296, Max: 7.41, Min: 7.119999999999999
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 (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 (1.2037062152420224e-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 (7.52316384526264e-37) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 7.296
Score: 7.296
Best-score: 7.296
Best-param: {'burn': 40, 'chains': 5, 'n_samples': 200, 'tune': 200}
Optimization Iteration: 4
Running with params: {'burn': 590, 'chains': None, 'n_samples': 800, 'tune': 4260}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_590_None_800_4260
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 14...
Iter 15...
Iter 13...
Iter 16...
Iter 18...
Iter 17...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 24...
Iter 23...
Iter 26...
Iter 25...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 20.855666666666668, Max: 24.840000000000003, Min: 19.599999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 20.855666666666668, Max: 24.840000000000003, Min: 19.599999999999998
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 (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 (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: 20.855666666666668
Score: 20.855666666666668
Best-score: 7.296
Best-param: {'burn': 40, 'chains': 5, 'n_samples': 200, 'tune': 200}
Optimization Iteration: 5
Running with params: {'burn': 380, 'chains': None, 'n_samples': 2300, 'tune': 1540}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_380_None_2300_1540
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 25...
Iter 24...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 17.080333333333336, Max: 19.970000000000002, Min: 15.57
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 17.080333333333336, Max: 19.970000000000002, Min: 15.57
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 (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
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 17.080333333333336
Score: 17.080333333333336
Best-score: 7.296
Best-param: {'burn': 40, 'chains': 5, 'n_samples': 200, 'tune': 200}
Optimization Iteration: 6
Running with params: {'burn': 410, 'chains': 4, 'n_samples': 200, 'tune': 1460}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_410_4_200_1460
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 13...
Iter 14...
Iter 12...
Iter 16...
Iter 15...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 26...
Iter 27...
Iter 25...
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: 10.886333333333333, Max: 11.389999999999999, Min: 10.57
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: 7.296
Best-param: {'burn': 40, 'chains': 5, 'n_samples': 200, 'tune': 200}
Optimization Iteration: 7
Running with params: {'burn': 970, 'chains': 6, 'n_samples': 5800, 'tune': 170}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_970_6_5800_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 28...
Iter 26...
Iter 27...
Iter 29...
Iter 25...
Timings: Avg: 36.91, Max: 45.77, Min: 29.74
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 36.91, Max: 45.77, Min: 29.74
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 (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 (1.925929944387236e-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: 36.91
Score: 36.91
Best-score: 7.296
Best-param: {'burn': 40, 'chains': 5, 'n_samples': 200, 'tune': 200}
Optimization Iteration: 8
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 400, 'tune': 2600}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_10_3_400_2600
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: 12.543333333333335, Max: 13.22, Min: 12.21
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 12.543333333333335, Max: 13.22, Min: 12.21
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
Variance (1.2037062152420224e-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 (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
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.543333333333335
Score: 12.543333333333335
Best-score: 7.296
Best-param: {'burn': 40, 'chains': 5, 'n_samples': 200, 'tune': 200}
Optimization Iteration: 9
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 400, 'tune': 1220}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_10_3_400_1220
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 22...
Iter 21...
Iter 25...
Iter 23...
Iter 26...
Iter 24...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 9.622333333333332, Max: 9.969999999999999, Min: 9.34
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 9.622333333333332, Max: 9.969999999999999, Min: 9.34
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 (0.0) 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 (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: 9.622333333333332
Score: 9.622333333333332
Best-score: 7.296
Best-param: {'burn': 40, 'chains': 5, 'n_samples': 200, 'tune': 200}
Optimization Iteration: 10
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 1600, 'tune': 2330}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_0_1_1600_2330
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 15...
Iter 14...
Iter 17...
Iter 16...
Iter 19...
Iter 18...
Iter 20...
Iter 21...
Iter 23...
Iter 22...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 9.266666666666664, Max: 9.36, Min: 9.03
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 9.266666666666664, Max: 9.36, Min: 9.03
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 (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
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 9.266666666666664
Score: 9.266666666666664
Best-score: 7.296
Best-param: {'burn': 40, 'chains': 5, 'n_samples': 200, 'tune': 200}
Optimization Iteration: 11
Running with params: {'burn': 0, 'chains': None, 'n_samples': 900, 'tune': 140}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_0_None_900_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 21...
Iter 22...
Iter 19...
Iter 20...
Iter 23...
Iter 25...
Iter 26...
Iter 24...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 9.495000000000001, Max: 9.89, Min: 9.24
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 9.495000000000001, Max: 9.89, Min: 9.24
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
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 (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: 9.495000000000001
Score: 9.495000000000001
Best-score: 7.296
Best-param: {'burn': 40, 'chains': 5, 'n_samples': 200, 'tune': 200}
Optimization Iteration: 12
Running with params: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_120_1_600_890
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 27...
Iter 26...
Iter 29...
Iter 28...
Timings: Avg: 7.2909999999999995, Max: 7.49, Min: 7.07
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 7.2909999999999995, Max: 7.49, Min: 7.07
Variance (1.2037062152420224e-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 (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 (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: 7.2909999999999995
Score: 7.2909999999999995
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 13
Running with params: {'burn': 790, 'chains': 1, 'n_samples': 300, 'tune': 330}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_790_1_300_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 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 19...
Iter 20...
Iter 18...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 28...
Iter 27...
Iter 29...
Iter 26...
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: 7.006333333333334, Max: 7.13, Min: 6.82
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: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 14
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 600, 'tune': 600}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_0_2_600_600
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 13...
Iter 12...
Iter 14...
Iter 16...
Iter 15...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 26...
Iter 25...
Iter 29...
Iter 28...
Iter 27...
Timings: Avg: 8.306000000000001, Max: 8.43, Min: 8.12
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.306000000000001, Max: 8.43, Min: 8.12
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 (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 (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: 8.306000000000001
Score: 8.306000000000001
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 15
Running with params: {'burn': 0, 'chains': 5, 'n_samples': 200, 'tune': 1240}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_0_5_200_1240
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 15...
Iter 13...
Iter 16...
Iter 14...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 27...
Iter 28...
Iter 29...
Iter 26...
Timings: Avg: 11.921999999999999, Max: 12.610000000000001, Min: 11.5
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.921999999999999, Max: 12.610000000000001, Min: 11.5
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 (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 (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: 11.921999999999999
Score: 11.921999999999999
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 16
Running with params: {'burn': 1730, 'chains': 6, 'n_samples': 3600, 'tune': 610}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_1730_6_3600_610
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 28...
Iter 27...
Iter 26...
Iter 25...
Iter 29...
Timings: Avg: 23.069000000000003, Max: 26.270000000000003, Min: 22.380000000000003
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 23.069000000000003, Max: 26.270000000000003, Min: 22.380000000000003
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 (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: 23.069000000000003
Score: 23.069000000000003
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 17
Running with params: {'burn': 70, 'chains': None, 'n_samples': 200, 'tune': 440}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_70_None_200_440
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 11...
Iter 10...
Iter 13...
Iter 12...
Iter 14...
Iter 15...
Iter 16...
Iter 18...
Iter 17...
Iter 19...
Iter 20...
Iter 22...
Iter 21...
Iter 23...
Iter 24...
Iter 26...
Iter 25...
Iter 28...
Iter 27...
Iter 29...
Timings: Avg: 8.76, Max: 8.84, Min: 8.6
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.76, Max: 8.84, Min: 8.6
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 (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 (6.770847460736376e-36) 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
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 8.76
Score: 8.76
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 18
Running with params: {'burn': 10, 'chains': 4, 'n_samples': 100, 'tune': 2030}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_10_4_100_2030
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 22...
Iter 23...
Iter 24...
Iter 21...
Iter 26...
Iter 25...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 13.467666666666666, Max: 15.370000000000001, Min: 12.94
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.467666666666666, Max: 15.370000000000001, Min: 12.94
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 (1.2037062152420224e-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 (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: 13.467666666666666
Score: 13.467666666666666
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 19
Running with params: {'burn': 40, 'chains': 4, 'n_samples': 6200, 'tune': 670}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_40_4_6200_670
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 24...
Iter 23...
Iter 26...
Iter 27...
Iter 29...
Iter 25...
Iter 28...
Timings: Avg: 27.80766666666667, Max: 34.46, Min: 24.5
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 27.80766666666667, Max: 34.46, Min: 24.5
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 (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: 27.80766666666667
Score: 27.80766666666667
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 20
Running with params: {'burn': 10, 'chains': 2, 'n_samples': 1100, 'tune': 390}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_10_2_1100_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 21...
Iter 20...
Iter 23...
Iter 22...
Iter 26...
Iter 25...
Iter 24...
Iter 28...
Iter 27...
Iter 29...
Timings: Avg: 8.961000000000002, Max: 9.16, Min: 8.719999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.961000000000002, Max: 9.16, Min: 8.719999999999999
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 (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 (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: 8.961000000000002
Score: 8.961000000000002
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 21
Running with params: {'burn': 80, 'chains': 5, 'n_samples': 100, 'tune': 250}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_80_5_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 22...
Iter 21...
Iter 23...
Iter 24...
Iter 26...
Iter 28...
Iter 27...
Iter 25...
Iter 29...
Timings: Avg: 8.32, Max: 8.46, Min: 8.09
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.32, Max: 8.46, Min: 8.09
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 (1.2037062152420224e-35) too small, using delta distribution
Variance (6.933347799794049e-33) 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
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 8.32
Score: 8.32
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 22
Running with params: {'burn': 30, 'chains': 5, 'n_samples': 500, 'tune': 260}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_30_5_500_260
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 15...
Iter 14...
Iter 16...
Iter 17...
Iter 19...
Iter 20...
Iter 18...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 28...
Iter 27...
Iter 29...
Iter 26...
Timings: Avg: 10.012999999999998, Max: 10.11, Min: 9.68
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 10.012999999999998, Max: 10.11, Min: 9.68
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 (1.2037062152420224e-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 (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 10.012999999999998
Score: 10.012999999999998
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 23
Running with params: {'burn': 130, 'chains': 5, 'n_samples': 100, 'tune': 910}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_130_5_100_910
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 13...
Iter 12...
Iter 14...
Iter 15...
Iter 17...
Iter 16...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 28...
Iter 25...
Iter 26...
Iter 27...
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: 11.261333333333333, Max: 11.829999999999998, Min: 10.93
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: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 24
Running with params: {'burn': 20, 'chains': 1, 'n_samples': 300, 'tune': 120}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_20_1_300_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 28...
Iter 26...
Iter 27...
Iter 29...
Timings: Avg: 7.816666666666667, Max: 7.85, 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: 7.816666666666667, Max: 7.85, Min: 7.75
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
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: 7.816666666666667
Score: 7.816666666666667
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 25
Running with params: {'burn': 140, 'chains': 5, 'n_samples': 1800, 'tune': 4780}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_140_5_1800_4780
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 13...
Iter 12...
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 27...
Iter 28...
Iter 29...
Iter 25...
Timings: Avg: 36.028666666666666, Max: 42.800000000000004, Min: 28.97
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 36.028666666666666, Max: 42.800000000000004, Min: 28.97
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 (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: 36.028666666666666
Score: 36.028666666666666
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 26
Running with params: {'burn': 200, 'chains': 1, 'n_samples': 700, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_200_1_700_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 24...
Iter 23...
Iter 22...
Iter 26...
Iter 29...
Iter 27...
Iter 28...
Iter 25...
Timings: Avg: 8.293666666666669, Max: 8.370000000000001, Min: 8.11
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.293666666666669, Max: 8.370000000000001, Min: 8.11
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 (1.2037062152420224e-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 (0.0) too small, using delta distribution
Variance (1.2037062152420224e-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: 8.293666666666669
Score: 8.293666666666669
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 27
Running with params: {'burn': 20, 'chains': 5, 'n_samples': 100, 'tune': 460}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_20_5_100_460
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 29...
Iter 26...
Iter 28...
Timings: Avg: 9.904666666666664, Max: 10.02, Min: 9.52
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 9.904666666666664, Max: 10.02, Min: 9.52
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 (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 (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
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 9.904666666666664
Score: 9.904666666666664
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Upto iteration 50: {'burn': 120.0, 'chains': 0, 'n_samples': 600.0, 'tune': 890.0}
Optimization Iteration: 28
Running with params: {'burn': 90, 'chains': 6, 'n_samples': 300, 'tune': 3010}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_90_6_300_3010
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: 23.450666666666667, Max: 28.119999999999997, Min: 21.04
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 23.450666666666667, Max: 28.119999999999997, Min: 21.04
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 (1.2037062152420224e-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 (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: 23.450666666666667
Score: 23.450666666666667
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 29
Running with params: {'burn': 50, 'chains': 1, 'n_samples': 3200, 'tune': 920}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_50_1_3200_920
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: 10.885, Max: 11.149999999999999, Min: 10.42
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 10.885, Max: 11.149999999999999, Min: 10.42
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 (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 (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 10.885
Score: 10.885
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 30
Running with params: {'burn': 270, 'chains': 2, 'n_samples': 1200, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_270_2_1200_200
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 8...
Iter 7...
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 17...
Iter 22...
Iter 23...
Iter 24...
Iter 26...
Iter 25...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 10.039666666666665, Max: 10.14, Min: 9.84
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 10.039666666666665, Max: 10.14, Min: 9.84
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 (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 (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
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 10.039666666666665
Score: 10.039666666666665
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 31
Running with params: {'burn': 20, 'chains': 3, 'n_samples': 100, 'tune': 300}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_20_3_100_300
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: 9.097666666666667, Max: 9.2, Min: 8.78
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 9.097666666666667, Max: 9.2, Min: 8.78
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 (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 (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 (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 9.097666666666667
Score: 9.097666666666667
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 32
Running with params: {'burn': 1600, 'chains': 1, 'n_samples': 200, 'tune': 510}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_1600_1_200_510
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: 8.738999999999999, Max: 8.82, Min: 8.39
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: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 33
Running with params: {'burn': 170, 'chains': 5, 'n_samples': 500, 'tune': 3570}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_170_5_500_3570
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 17...
Iter 16...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 27...
Iter 29...
Iter 28...
Iter 26...
Timings: Avg: 23.730999999999995, Max: 29.959999999999997, Min: 21.79
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 23.730999999999995, Max: 29.959999999999997, Min: 21.79
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 (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 (6.770847460736376e-36) 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: 23.730999999999995
Score: 23.730999999999995
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 34
Running with params: {'burn': 440, 'chains': 1, 'n_samples': 800, 'tune': 820}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_440_1_800_820
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 6...
Iter 5...
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: 9.496999999999998, Max: 9.59, Min: 9.110000000000001
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 9.496999999999998, Max: 9.59, Min: 9.110000000000001
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 (1.925929944387236e-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 (1.2037062152420224e-35) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 9.496999999999998
Score: 9.496999999999998
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 35
Running with params: {'burn': 0, 'chains': 4, 'n_samples': 300, 'tune': 1880}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_0_4_300_1880
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: 15.218333333333332, Max: 16.650000000000002, Min: 14.219999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 15.218333333333332, Max: 16.650000000000002, Min: 14.219999999999999
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 (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (1.2037062152420224e-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: 15.218333333333332
Score: 15.218333333333332
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 36
Running with params: {'burn': 270, 'chains': 6, 'n_samples': 200, 'tune': 1110}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_270_6_200_1110
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 20...
Iter 18...
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: 14.124999999999998, Max: 17.619999999999997, Min: 13.41
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: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 37
Running with params: {'burn': 30, 'chains': None, 'n_samples': 1600, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_30_None_1600_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: 13.731666666666666, Max: 14.92, 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: 13.731666666666666, Max: 14.92, Min: 13.3
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 (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
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.731666666666666
Score: 13.731666666666666
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 38
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 8500, 'tune': 1580}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_10_3_8500_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: 33.43233333333333, Max: 39.779999999999994, Min: 28.26
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 33.43233333333333, Max: 39.779999999999994, Min: 28.26
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
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
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.43233333333333
Score: 33.43233333333333
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 39
Running with params: {'burn': 50, 'chains': 1, 'n_samples': 400, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_50_1_400_100
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 23...
Iter 22...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 8.873333333333333, Max: 9.0, Min: 8.469999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 8.873333333333333, Max: 9.0, Min: 8.469999999999999
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 (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 (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: 8.873333333333333
Score: 8.873333333333333
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 40
Running with params: {'burn': 730, 'chains': 5, 'n_samples': 2300, 'tune': 140}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_730_5_2300_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 18...
Iter 19...
Iter 17...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 27...
Iter 26...
Iter 29...
Iter 28...
Timings: Avg: 18.349666666666664, Max: 21.4, Min: 17.37
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 18.349666666666664, Max: 21.4, Min: 17.37
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 (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: 18.349666666666664
Score: 18.349666666666664
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 41
Running with params: {'burn': 1080, 'chains': 2, 'n_samples': 100, 'tune': 750}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_1080_2_100_750
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: 9.967333333333334, Max: 10.08, Min: 9.64
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: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 42
Running with params: {'burn': 110, 'chains': 3, 'n_samples': 600, 'tune': 320}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_110_3_600_320
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: 10.852, Max: 10.969999999999999, Min: 10.21
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 10.852, Max: 10.969999999999999, Min: 10.21
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 (1.2037062152420224e-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 (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 10.852
Score: 10.852
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 43
Running with params: {'burn': 0, 'chains': None, 'n_samples': 1000, 'tune': 1440}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_0_None_1000_1440
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: 15.809333333333333, Max: 17.69, Min: 15.43
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 15.809333333333333, Max: 17.69, Min: 15.43
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 (1.2037062152420224e-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: 15.809333333333333
Score: 15.809333333333333
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 44
Running with params: {'burn': 510, 'chains': 1, 'n_samples': 300, 'tune': 1090}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_510_1_300_1090
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 22...
Iter 21...
Iter 24...
Iter 25...
Iter 23...
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: 10.353666666666667, Max: 10.45, Min: 9.92
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: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 45
Running with params: {'burn': 0, 'chains': 6, 'n_samples': 500, 'tune': 540}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_0_6_500_540
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: 13.796666666666665, Max: 14.84, Min: 13.479999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.796666666666665, Max: 14.84, Min: 13.479999999999999
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 (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 (1.925929944387236e-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: 13.796666666666665
Score: 13.796666666666665
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 46
Running with params: {'burn': 10, 'chains': 4, 'n_samples': 200, 'tune': 380}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_10_4_200_380
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 22...
Iter 21...
Iter 23...
Iter 25...
Iter 26...
Iter 24...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 11.115000000000002, Max: 11.27, Min: 10.61
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.115000000000002, Max: 11.27, Min: 10.61
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 (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 (4.81482486096809e-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: 11.115000000000002
Score: 11.115000000000002
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 47
Running with params: {'burn': 330, 'chains': 5, 'n_samples': 400, 'tune': 180}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_330_5_400_180
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: 11.770333333333332, Max: 13.379999999999999, Min: 11.26
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.770333333333332, Max: 13.379999999999999, Min: 11.26
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 (0.0) 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 (4.81482486096809e-35) 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: 11.770333333333332
Score: 11.770333333333332
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 48
Running with params: {'burn': 60, 'chains': 2, 'n_samples': 3000, 'tune': 260}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_60_2_3000_260
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: 14.011666666666668, Max: 15.270000000000001, Min: 13.389999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 14.011666666666668, Max: 15.270000000000001, Min: 13.389999999999999
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 (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 (1.925929944387236e-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: 14.011666666666668
Score: 14.011666666666668
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 49
Running with params: {'burn': 30, 'chains': None, 'n_samples': 100, 'tune': 2400}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_30_None_100_2400
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 21...
Iter 20...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 17.877666666666666, Max: 20.060000000000002, Min: 16.3
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 17.877666666666666, Max: 20.060000000000002, Min: 16.3
Variance (7.703719777548943e-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 (6.770847460736376e-36) 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 (7.703719777548943e-34) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 17.877666666666666
Score: 17.877666666666666
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 50
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 4500, 'tune': 140}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_0_1_4500_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 28...
Iter 29...
Timings: Avg: 13.129999999999997, Max: 13.25, Min: 13.0
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.129999999999997, Max: 13.25, Min: 13.0
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
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
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.129999999999997
Score: 13.129999999999997
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 51
Running with params: {'burn': 200, 'chains': 5, 'n_samples': 1400, 'tune': 660}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_200_5_1400_660
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: 17.379, Max: 21.529999999999998, Min: 15.989999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 17.379, Max: 21.529999999999998, Min: 15.989999999999998
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 (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: 17.379
Score: 17.379
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 52
Running with params: {'burn': 1230, 'chains': 4, 'n_samples': 800, 'tune': 1850}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_1230_4_800_1850
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 29...
Iter 27...
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: 18.151666666666664, Max: 20.06, Min: 16.62
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: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 53
Running with params: {'burn': 10, 'chains': 6, 'n_samples': 200, 'tune': 400}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_10_6_200_400
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 27...
Iter 28...
Timings: Avg: 12.568666666666667, Max: 12.89, Min: 12.39
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 12.568666666666667, Max: 12.89, Min: 12.39
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 (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: 12.568666666666667
Score: 12.568666666666667
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Optimization Iteration: 54
Running with params: {'burn': 20, 'chains': 3, 'n_samples': 2000, 'tune': 220}
Logdir: /mnt/batch/tasks/workitems/optpymc3_mean/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598307762_pymc3/run_1598307762/assert_76144901_20_3_2000_220
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 23...
Iter 22...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 14.734999999999998, Max: 15.4, Min: 14.41
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 14.734999999999998, Max: 15.4, Min: 14.41
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 (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 (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: 14.734999999999998
Score: 14.734999999999998
Best-score: 7.2909999999999995
Best-param: {'burn': 120, 'chains': 1, 'n_samples': 600, 'tune': 890}
Upto iteration 100: {'burn': 120.0, 'chains': 0, 'n_samples': 600.0, 'tune': 890.0}
Breaking...
{'burn': 120.0, 'chains': 0, 'n_samples': 600.0, 'tune': 890.0}
Best score: 7.2909999999999995
Repeated params: 0
Trials: 55
Best param {'burn': 120.0, 'chains': 0, 'n_samples': 600.0, 'tune': 890.0}
Reduction: 63.85524250185904%
Speedup: 2.7666529511269604x
Optimizer time: 12637.012212276459
