Repo: pymc3
Filename: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/projects/pymc3/pymc3/tests/test_posteriors.py
ClassName: TestNUTSStudentT
Testname: test_mean
Params: n_samples,78,16,ParamType.ITER,10000
tune,79,11,ParamType.ITER,1000
burn,80,11,ParamType.ITER,0
chains,81,13,ParamType.CHAINS,2
Assertion: npt.assert_allclose(expected, samples.mean(0), rtol=0.1, atol=0.05)
Original runtime: 26.904
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'n_samples': 10000, 'tune': 1000, 'burn': 0, 'chains': 2}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10000_1000_0_2
Launching 30 jobs, 30 in parallel
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Timings: Avg: 23.627666666666673, Max: 27.58, Min: 21.38
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 23.627666666666673, Max: 27.58, Min: 21.38
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 23.627666666666673
Score: 23.627666666666673
Best-score: 23.627666666666673
Best-param: {'n_samples': 10000, 'tune': 1000, 'burn': 0, 'chains': 2}
>>Setting original runtime to 23.627666666666673
Optimization Iteration: 1
Running with params: {'burn': 1900, 'chains': 2, 'n_samples': 300, 'tune': 1430}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_1900_2_300_1430
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Timings: Avg: 11.842666666666666, Max: 12.0, Min: 11.48
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: 23.627666666666673
Best-param: {'n_samples': 10000, 'tune': 1000, 'burn': 0, 'chains': 2}
Optimization Iteration: 2
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 800, 'tune': 4600}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_800_4600
Launching 30 jobs, 30 in parallel
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Timings: Avg: 16.424, Max: 17.8, Min: 15.51
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 16.424, Max: 17.8, Min: 15.51
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 16.424
Score: 16.424
Best-score: 16.424
Best-param: {'burn': 0, 'chains': 2, 'n_samples': 800, 'tune': 4600}
Optimization Iteration: 3
Running with params: {'burn': 110, 'chains': 5, 'n_samples': 100, 'tune': 170}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_110_5_100_170
Launching 30 jobs, 30 in parallel
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Timings: Avg: 10.829333333333333, Max: 11.18, Min: 10.61
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: 16.424
Best-param: {'burn': 0, 'chains': 2, 'n_samples': 800, 'tune': 4600}
Optimization Iteration: 4
Running with params: {'burn': 1350, 'chains': 2, 'n_samples': 7700, 'tune': 3500}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_1350_2_7700_3500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.90833333333334, Max: 29.24, Min: 21.709999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 24.90833333333334, Max: 29.24, Min: 21.709999999999997
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 24.90833333333334
Score: 24.90833333333334
Best-score: 16.424
Best-param: {'burn': 0, 'chains': 2, 'n_samples': 800, 'tune': 4600}
Optimization Iteration: 5
Running with params: {'burn': 10, 'chains': None, 'n_samples': 3500, 'tune': 160}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_None_3500_160
Launching 30 jobs, 30 in parallel
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Timings: Avg: 18.669666666666668, Max: 21.39, Min: 17.49
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 18.669666666666668, Max: 21.39, Min: 17.49
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 18.669666666666668
Score: 18.669666666666668
Best-score: 16.424
Best-param: {'burn': 0, 'chains': 2, 'n_samples': 800, 'tune': 4600}
Optimization Iteration: 6
Running with params: {'burn': 10, 'chains': 6, 'n_samples': 1000, 'tune': 2630}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_6_1000_2630
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.81633333333333, Max: 29.470000000000002, Min: 22.54
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: 16.424
Best-param: {'burn': 0, 'chains': 2, 'n_samples': 800, 'tune': 4600}
Optimization Iteration: 7
Running with params: {'burn': 130, 'chains': None, 'n_samples': 600, 'tune': 810}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_130_None_600_810
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.472333333333331, Max: 13.83, Min: 12.85
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.472333333333331, Max: 13.83, Min: 12.85
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.472333333333331
Score: 13.472333333333331
Best-score: 13.472333333333331
Best-param: {'burn': 130, 'chains': None, 'n_samples': 600, 'tune': 810}
Optimization Iteration: 8
Running with params: {'burn': 190, 'chains': None, 'n_samples': 5100, 'tune': 2590}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_190_None_5100_2590
Launching 30 jobs, 30 in parallel
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Timings: Avg: 31.75033333333333, Max: 37.900000000000006, Min: 26.78
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 31.75033333333333, Max: 37.900000000000006, Min: 26.78
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 31.75033333333333
Score: 31.75033333333333
Best-score: 13.472333333333331
Best-param: {'burn': 130, 'chains': None, 'n_samples': 600, 'tune': 810}
Optimization Iteration: 9
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_3_1000_770
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.247666666666667, Max: 13.729999999999999, Min: 12.68
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.247666666666667, Max: 13.729999999999999, Min: 12.68
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.247666666666667
Score: 13.247666666666667
Best-score: 13.247666666666667
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Optimization Iteration: 10
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 100, 'tune': 3860}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_1_100_3860
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.43533333333333, Max: 12.68, Min: 12.05
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: 13.247666666666667
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Optimization Iteration: 11
Running with params: {'burn': 130, 'chains': 6, 'n_samples': 100, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_130_6_100_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.507, Max: 11.69, Min: 11.08
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: 13.247666666666667
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Optimization Iteration: 12
Running with params: {'burn': 390, 'chains': 5, 'n_samples': 100, 'tune': 140}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_390_5_100_140
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.397666666666668, Max: 11.46, Min: 11.29
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: 13.247666666666667
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Optimization Iteration: 13
Running with params: {'burn': 1330, 'chains': 5, 'n_samples': 2900, 'tune': 230}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_1330_5_2900_230
Launching 30 jobs, 30 in parallel
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Timings: Avg: 20.197333333333333, Max: 24.509999999999998, Min: 18.99
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 20.197333333333333, Max: 24.509999999999998, Min: 18.99
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 20.197333333333333
Score: 20.197333333333333
Best-score: 13.247666666666667
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Optimization Iteration: 14
Running with params: {'burn': 10, 'chains': 6, 'n_samples': 100, 'tune': 4510}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_6_100_4510
Launching 30 jobs, 30 in parallel
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Timings: Avg: 29.92633333333333, Max: 35.63, Min: 26.41
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: 13.247666666666667
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Optimization Iteration: 15
Running with params: {'burn': 0, 'chains': None, 'n_samples': 600, 'tune': 820}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_None_600_820
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.664666666666669, Max: 13.84, Min: 13.04
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: 13.247666666666667
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Optimization Iteration: 16
Running with params: {'burn': 640, 'chains': 2, 'n_samples': 7900, 'tune': 700}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_640_2_7900_700
Launching 30 jobs, 30 in parallel
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Timings: Avg: 20.850666666666665, Max: 23.89, Min: 19.61
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 20.850666666666665, Max: 23.89, Min: 19.61
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 20.850666666666665
Score: 20.850666666666665
Best-score: 13.247666666666667
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Optimization Iteration: 17
Running with params: {'burn': 1630, 'chains': 1, 'n_samples': 600, 'tune': 2200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_1630_1_600_2200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.128666666666666, Max: 12.34, Min: 11.98
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: 13.247666666666667
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Optimization Iteration: 18
Running with params: {'burn': 1270, 'chains': 1, 'n_samples': 400, 'tune': 180}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_1270_1_400_180
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Timings: Avg: 10.346999999999998, Max: 10.540000000000001, Min: 10.129999999999999
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: 13.247666666666667
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Optimization Iteration: 19
Running with params: {'burn': 10, 'chains': 5, 'n_samples': 600, 'tune': 2420}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_5_600_2420
Launching 30 jobs, 30 in parallel
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Timings: Avg: 19.61166666666667, Max: 22.73, Min: 18.83
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 19.61166666666667, Max: 22.73, Min: 18.83
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 19.61166666666667
Score: 19.61166666666667
Best-score: 13.247666666666667
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Optimization Iteration: 20
Running with params: {'burn': 90, 'chains': 5, 'n_samples': 600, 'tune': 1270}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_90_5_600_1270
Launching 30 jobs, 30 in parallel
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Timings: Avg: 16.286333333333335, Max: 17.5, Min: 15.739999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 16.286333333333335, Max: 17.5, Min: 15.739999999999998
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 16.286333333333335
Score: 16.286333333333335
Best-score: 13.247666666666667
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Optimization Iteration: 21
Running with params: {'burn': 40, 'chains': 3, 'n_samples': 1700, 'tune': 370}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_40_3_1700_370
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.475999999999999, Max: 16.77, Min: 13.62
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 14.475999999999999, Max: 16.77, Min: 13.62
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.475999999999999
Score: 14.475999999999999
Best-score: 13.247666666666667
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 1000, 'tune': 770}
Optimization Iteration: 22
Running with params: {'burn': 30, 'chains': 4, 'n_samples': 200, 'tune': 460}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_30_4_200_460
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.360000000000003, Max: 12.520000000000001, Min: 12.120000000000001
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 12.360000000000003, Max: 12.520000000000001, Min: 12.120000000000001
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.360000000000003
Score: 12.360000000000003
Best-score: 12.360000000000003
Best-param: {'burn': 30, 'chains': 4, 'n_samples': 200, 'tune': 460}
Optimization Iteration: 23
Running with params: {'burn': 30, 'chains': 4, 'n_samples': 200, 'tune': 420}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_30_4_200_420
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.206333333333333, Max: 12.38, Min: 11.76
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: 12.360000000000003
Best-param: {'burn': 30, 'chains': 4, 'n_samples': 200, 'tune': 460}
Optimization Iteration: 24
Running with params: {'burn': 0, 'chains': 4, 'n_samples': 1600, 'tune': 400}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_4_1600_400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 15.457999999999998, Max: 18.67, Min: 14.52
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 15.457999999999998, Max: 18.67, Min: 14.52
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 15.457999999999998
Score: 15.457999999999998
Best-score: 12.360000000000003
Best-param: {'burn': 30, 'chains': 4, 'n_samples': 200, 'tune': 460}
Optimization Iteration: 25
Running with params: {'burn': 20, 'chains': 3, 'n_samples': 200, 'tune': 580}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_20_3_200_580
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.180666666666665, Max: 12.33, Min: 11.940000000000001
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 12.180666666666665, Max: 12.33, Min: 11.940000000000001
Variance (2.7083389842945504e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.180666666666665
Score: 12.180666666666665
Best-score: 12.180666666666665
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 200, 'tune': 580}
Optimization Iteration: 26
Running with params: {'burn': 20, 'chains': 3, 'n_samples': 200, 'tune': 280}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_20_3_200_280
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.675999999999998, Max: 11.8, Min: 11.09
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: 12.180666666666665
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 200, 'tune': 580}
Optimization Iteration: 27
Running with params: {'burn': 0, 'chains': 4, 'n_samples': 200, 'tune': 540}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_4_200_540
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.661999999999999, Max: 12.77, Min: 12.48
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 12.661999999999999, Max: 12.77, Min: 12.48
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.661999999999999
Score: 12.661999999999999
Best-score: 12.180666666666665
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 200, 'tune': 580}
Upto iteration 50: {'burn': 20.0, 'chains': 2, 'n_samples': 200.0, 'tune': 580.0}
Optimization Iteration: 28
Running with params: {'burn': 60, 'chains': 4, 'n_samples': 300, 'tune': 1120}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_60_4_300_1120
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.119333333333337, Max: 14.25, Min: 13.87
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: 12.180666666666665
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 200, 'tune': 580}
Optimization Iteration: 29
Running with params: {'burn': 20, 'chains': 3, 'n_samples': 300, 'tune': 300}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_20_3_300_300
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.98433333333333, Max: 12.120000000000001, Min: 11.73
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.98433333333333, Max: 12.120000000000001, Min: 11.73
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 11.98433333333333
Score: 11.98433333333333
Best-score: 11.98433333333333
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 300, 'tune': 300}
Optimization Iteration: 30
Running with params: {'burn': 0, 'chains': 3, 'n_samples': 300, 'tune': 120}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_3_300_120
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.715000000000002, Max: 11.82, Min: 11.55
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.715000000000002, Max: 11.82, Min: 11.55
Variance (3.009265538105056e-36) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 11.715000000000002
Score: 11.715000000000002
Best-score: 11.715000000000002
Best-param: {'burn': 0, 'chains': 3, 'n_samples': 300, 'tune': 120}
Optimization Iteration: 31
Running with params: {'burn': 0, 'chains': 3, 'n_samples': 400, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_3_400_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.855666666666668, Max: 11.95, Min: 11.56
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.715000000000002
Best-param: {'burn': 0, 'chains': 3, 'n_samples': 300, 'tune': 120}
Optimization Iteration: 32
Running with params: {'burn': 0, 'chains': 3, 'n_samples': 300, 'tune': 110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_3_300_110
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.665999999999999, Max: 11.82, Min: 11.28
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.715000000000002
Best-param: {'burn': 0, 'chains': 3, 'n_samples': 300, 'tune': 120}
Optimization Iteration: 33
Running with params: {'burn': 0, 'chains': 3, 'n_samples': 400, 'tune': 290}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_3_400_290
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Timings: Avg: 11.761000000000001, Max: 11.95, Min: 11.58
Passed tests : 30
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Convergence score: 0.0
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Evaluating 30 values out of 30
Overall-timings: Avg: 11.761000000000001, Max: 11.95, Min: 11.58
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
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Runtime: 11.761000000000001
Score: 11.761000000000001
Best-score: 11.715000000000002
Best-param: {'burn': 0, 'chains': 3, 'n_samples': 300, 'tune': 120}
Optimization Iteration: 34
Running with params: {'burn': 0, 'chains': 3, 'n_samples': 1500, 'tune': 140}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_3_1500_140
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Timings: Avg: 13.432, Max: 13.7, Min: 13.14
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 13.432, Max: 13.7, Min: 13.14
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.432
Score: 13.432
Best-score: 11.715000000000002
Best-param: {'burn': 0, 'chains': 3, 'n_samples': 300, 'tune': 120}
Optimization Iteration: 35
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 400, 'tune': 270}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_400_270
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.538999999999998, Max: 11.66, Min: 11.270000000000001
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 11.538999999999998, Max: 11.66, Min: 11.270000000000001
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 11.538999999999998
Score: 11.538999999999998
Best-score: 11.538999999999998
Best-param: {'burn': 0, 'chains': 2, 'n_samples': 400, 'tune': 270}
Optimization Iteration: 36
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 1200, 'tune': 120}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_1200_120
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Timings: Avg: 12.555666666666665, Max: 12.66, Min: 12.33
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.538999999999998
Best-param: {'burn': 0, 'chains': 2, 'n_samples': 400, 'tune': 270}
Optimization Iteration: 37
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 800, 'tune': 230}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_800_230
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Timings: Avg: 12.240333333333332, Max: 12.37, Min: 12.11
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 12.240333333333332, Max: 12.37, Min: 12.11
Variance (3.009265538105056e-36) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.240333333333332
Score: 12.240333333333332
Best-score: 11.538999999999998
Best-param: {'burn': 0, 'chains': 2, 'n_samples': 400, 'tune': 270}
Optimization Iteration: 38
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 2200, 'tune': 140}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_2200_140
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Timings: Avg: 13.757333333333337, Max: 15.66, Min: 13.05
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 13.757333333333337, Max: 15.66, Min: 13.05
Variance (3.009265538105056e-36) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.757333333333337
Score: 13.757333333333337
Best-score: 11.538999999999998
Best-param: {'burn': 0, 'chains': 2, 'n_samples': 400, 'tune': 270}
Optimization Iteration: 39
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 100, 'tune': 330}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_100_330
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.518999999999998, Max: 11.7, Min: 10.95
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.538999999999998
Best-param: {'burn': 0, 'chains': 2, 'n_samples': 400, 'tune': 270}
Optimization Iteration: 40
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 800, 'tune': 1760}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_800_1760
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.025333333333332, Max: 14.200000000000001, Min: 13.66
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 14.025333333333332, Max: 14.200000000000001, Min: 13.66
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.025333333333332
Score: 14.025333333333332
Best-score: 11.538999999999998
Best-param: {'burn': 0, 'chains': 2, 'n_samples': 400, 'tune': 270}
Optimization Iteration: 41
Running with params: {'burn': 0, 'chains': 6, 'n_samples': 4900, 'tune': 230}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_6_4900_230
Launching 30 jobs, 30 in parallel
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Timings: Avg: 32.57599999999999, Max: 38.17, Min: 27.71
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 32.57599999999999, Max: 38.17, Min: 27.71
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 32.57599999999999
Score: 32.57599999999999
Best-score: 11.538999999999998
Best-param: {'burn': 0, 'chains': 2, 'n_samples': 400, 'tune': 270}
Optimization Iteration: 42
Running with params: {'burn': 0, 'chains': None, 'n_samples': 100, 'tune': 1000}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_None_100_1000
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.886333333333335, Max: 15.94, Min: 13.26
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.538999999999998
Best-param: {'burn': 0, 'chains': 2, 'n_samples': 400, 'tune': 270}
Optimization Iteration: 43
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_1_400_180
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.493666666666666, Max: 12.18, Min: 11.350000000000001
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.493666666666666, Max: 12.18, Min: 11.350000000000001
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 11.493666666666666
Score: 11.493666666666666
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 44
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 900, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_1_900_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.764999999999999, Max: 11.88, Min: 11.51
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.764999999999999, Max: 11.88, Min: 11.51
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 11.764999999999999
Score: 11.764999999999999
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 45
Running with params: {'burn': 240, 'chains': 1, 'n_samples': 500, 'tune': 490}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_240_1_500_490
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.653333333333332, Max: 11.780000000000001, Min: 11.27
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.653333333333332, Max: 11.780000000000001, Min: 11.27
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 11.653333333333332
Score: 11.653333333333332
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 46
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 1300, 'tune': 160}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_1_1300_160
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.049999999999999, Max: 13.18, Min: 11.68
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 12.049999999999999, Max: 13.18, Min: 11.68
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.049999999999999
Score: 12.049999999999999
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 47
Running with params: {'burn': 80, 'chains': 1, 'n_samples': 2100, 'tune': 250}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_80_1_2100_250
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.657333333333334, Max: 12.780000000000001, Min: 12.260000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 12.657333333333334, Max: 12.780000000000001, Min: 12.260000000000002
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.657333333333334
Score: 12.657333333333334
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 48
Running with params: {'burn': 10, 'chains': 6, 'n_samples': 500, 'tune': 620}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_6_500_620
Launching 30 jobs, 30 in parallel
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Timings: Avg: 15.683000000000002, Max: 16.400000000000002, Min: 15.120000000000001
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 15.683000000000002, Max: 16.400000000000002, Min: 15.120000000000001
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 15.683000000000002
Score: 15.683000000000002
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 49
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 100, 'tune': 190}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_100_190
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.844000000000001, Max: 12.59, Min: 11.1
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 11.844000000000001, Max: 12.59, Min: 11.1
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 11.844000000000001
Score: 11.844000000000001
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 50
Running with params: {'burn': 580, 'chains': 1, 'n_samples': 3100, 'tune': 960}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_580_1_3100_960
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Timings: Avg: 13.781333333333334, Max: 16.12, Min: 13.030000000000001
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 13.781333333333334, Max: 16.12, Min: 13.030000000000001
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.781333333333334
Score: 13.781333333333334
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 51
Running with params: {'burn': 0, 'chains': None, 'n_samples': 1200, 'tune': 1630}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_None_1200_1630
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Timings: Avg: 18.714333333333336, Max: 20.93, Min: 17.78
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 18.714333333333336, Max: 20.93, Min: 17.78
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 18.714333333333336
Score: 18.714333333333336
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 52
Running with params: {'burn': 190, 'chains': 5, 'n_samples': 200, 'tune': 370}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_190_5_200_370
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Timings: Avg: 13.290666666666663, Max: 13.430000000000001, Min: 12.91
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 53
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 4300, 'tune': 660}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_1_4300_660
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.105333333333334, Max: 14.41, Min: 13.49
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 14.105333333333334, Max: 14.41, Min: 13.49
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.105333333333334
Score: 14.105333333333334
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 54
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 9400, 'tune': 3390}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_9400_3390
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.159666666666666, Max: 34.1, Min: 25.279999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 30.159666666666666, Max: 34.1, Min: 25.279999999999998
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 30.159666666666666
Score: 30.159666666666666
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Upto iteration 100: {'burn': 10.0, 'chains': 0, 'n_samples': 400.0, 'tune': 180.0}
Optimization Iteration: 55
Running with params: {'burn': 30, 'chains': 6, 'n_samples': 500, 'tune': 250}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_30_6_500_250
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.266333333333334, Max: 16.4, Min: 13.61
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 14.266333333333334, Max: 16.4, Min: 13.61
Variance (2.7083389842945504e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.266333333333334
Score: 14.266333333333334
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 56
Running with params: {'burn': 20, 'chains': None, 'n_samples': 700, 'tune': 790}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_20_None_700_790
Launching 30 jobs, 30 in parallel
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Timings: Avg: 15.016, Max: 17.6, Min: 14.299999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 15.016, Max: 17.6, Min: 14.299999999999999
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 15.016
Score: 15.016
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 57
Running with params: {'burn': 50, 'chains': 1, 'n_samples': 100, 'tune': 160}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_50_1_100_160
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Timings: Avg: 11.549, Max: 11.64, Min: 11.21
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.549, Max: 11.64, Min: 11.21
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 11.549
Score: 11.549
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 58
Running with params: {'burn': 0, 'chains': 5, 'n_samples': 300, 'tune': 460}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_5_300_460
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.644666666666668, Max: 13.77, Min: 13.37
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: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 59
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 400, 'tune': 340}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_400_340
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.13866666666667, Max: 12.31, Min: 11.549999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 12.13866666666667, Max: 12.31, Min: 11.549999999999999
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.13866666666667
Score: 12.13866666666667
Best-score: 11.493666666666666
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 400, 'tune': 180}
Optimization Iteration: 60
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_1_200_110
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.427333333333339, Max: 11.57, Min: 11.35
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.427333333333339, Max: 11.57, Min: 11.35
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 11.427333333333339
Score: 11.427333333333339
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 61
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_1_200_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.540333333333335, Max: 11.639999999999999, Min: 11.229999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 11.540333333333335, Max: 11.639999999999999, Min: 11.229999999999999
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 11.540333333333335
Score: 11.540333333333335
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 62
Running with params: {'burn': 70, 'chains': 1, 'n_samples': 100, 'tune': 150}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_70_1_100_150
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.517999999999999, Max: 12.0, Min: 10.78
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 63
Running with params: {'burn': 120, 'chains': 1, 'n_samples': 200, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_120_1_200_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.742, Max: 11.84, Min: 11.639999999999999
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 64
Running with params: {'burn': 40, 'chains': 1, 'n_samples': 100, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_40_1_100_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 11.74, Max: 11.83, Min: 11.629999999999999
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 65
Running with params: {'burn': 10, 'chains': 4, 'n_samples': 100, 'tune': 120}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_4_100_120
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.261, Max: 12.379999999999999, Min: 11.850000000000001
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 66
Running with params: {'burn': 20, 'chains': 1, 'n_samples': 400, 'tune': 130}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_20_1_400_130
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.257333333333337, Max: 12.37, Min: 11.879999999999999
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 67
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 300, 'tune': 180}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_300_180
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Timings: Avg: 12.206666666666669, Max: 12.299999999999999, Min: 11.969999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
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Evaluating 30 values out of 30
Overall-timings: Avg: 12.206666666666669, Max: 12.299999999999999, Min: 11.969999999999999
Variance (0.0) too small, using delta distribution
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All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.206666666666669
Score: 12.206666666666669
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 68
Running with params: {'burn': 10, 'chains': 5, 'n_samples': 200, 'tune': 280}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_5_200_280
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Timings: Avg: 13.515999999999998, Max: 13.680000000000001, Min: 12.84
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Failed tests : 30
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Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 69
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 700, 'tune': 220}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_1_700_220
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Timings: Avg: 12.489, Max: 12.63, Min: 12.07
Passed tests : 30
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Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 12.489, Max: 12.63, Min: 12.07
Variance (6.770847460736376e-36) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.489
Score: 12.489
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 70
Running with params: {'burn': 30, 'chains': 6, 'n_samples': 500, 'tune': 530}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_30_6_500_530
Launching 30 jobs, 30 in parallel
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Timings: Avg: 15.655666666666665, Max: 18.56, Min: 15.18
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 71
Running with params: {'burn': 0, 'chains': None, 'n_samples': 300, 'tune': 110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_None_300_110
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.191, Max: 13.309999999999999, Min: 13.0
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 13.191, Max: 13.309999999999999, Min: 13.0
Variance (0.0) too small, using delta distribution
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All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.191
Score: 13.191
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 72
Running with params: {'burn': 10, 'chains': 4, 'n_samples': 200, 'tune': 400}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_4_200_400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.584333333333332, Max: 13.68, Min: 13.27
Passed tests : 0
Failed tests : 30
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Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 73
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 1000, 'tune': 170}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_1000_170
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Timings: Avg: 13.802666666666669, Max: 13.91, Min: 13.569999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 13.802666666666669, Max: 13.91, Min: 13.569999999999999
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.802666666666669
Score: 13.802666666666669
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 74
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 400, 'tune': 330}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_1_400_330
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.716666666666667, Max: 12.89, Min: 12.02
Passed tests : 0
Failed tests : 30
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Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 75
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 200, 'tune': 260}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_200_260
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Timings: Avg: 13.064, Max: 13.16, Min: 12.89
Passed tests : 0
Failed tests : 30
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Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 76
Running with params: {'burn': 20, 'chains': 1, 'n_samples': 700, 'tune': 210}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_20_1_700_210
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.878000000000002, Max: 13.05, Min: 12.31
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 12.878000000000002, Max: 13.05, Min: 12.31
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.878000000000002
Score: 12.878000000000002
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 77
Running with params: {'burn': 10, 'chains': 5, 'n_samples': 100, 'tune': 140}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_5_100_140
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.420000000000003, Max: 13.5, Min: 13.27
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.420000000000003, Max: 13.5, Min: 13.27
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.420000000000003
Score: 13.420000000000003
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 78
Running with params: {'burn': 0, 'chains': 6, 'n_samples': 300, 'tune': 110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_6_300_110
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.136333333333335, Max: 14.260000000000002, Min: 13.56
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 14.136333333333335, Max: 14.260000000000002, Min: 13.56
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.136333333333335
Score: 14.136333333333335
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 79
Running with params: {'burn': 360, 'chains': 1, 'n_samples': 900, 'tune': 180}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_360_1_900_180
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.04, Max: 14.02, Min: 12.31
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 80
Running with params: {'burn': 0, 'chains': 4, 'n_samples': 1900, 'tune': 900}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_4_1900_900
Launching 30 jobs, 30 in parallel
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Timings: Avg: 19.404666666666667, Max: 20.900000000000002, Min: 18.31
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 19.404666666666667, Max: 20.900000000000002, Min: 18.31
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 19.404666666666667
Score: 19.404666666666667
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 81
Running with params: {'burn': 100, 'chains': None, 'n_samples': 600, 'tune': 320}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_100_None_600_320
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.610000000000001, Max: 14.81, Min: 13.95
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 14.610000000000001, Max: 14.81, Min: 13.95
Variance (2.7083389842945504e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.610000000000001
Score: 14.610000000000001
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Upto iteration 150: {'burn': 10.0, 'chains': 0, 'n_samples': 200.0, 'tune': 110.0}
Optimization Iteration: 82
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 100, 'tune': 1290}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_100_1290
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Timings: Avg: 14.193666666666669, Max: 14.379999999999999, Min: 13.61
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 14.193666666666669, Max: 14.379999999999999, Min: 13.61
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.193666666666669
Score: 14.193666666666669
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 83
Running with params: {'burn': 150, 'chains': 1, 'n_samples': 200, 'tune': 420}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_150_1_200_420
Launching 30 jobs, 30 in parallel
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Timings: Avg: 12.99266666666667, Max: 13.080000000000002, Min: 12.9
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 12.99266666666667, Max: 13.080000000000002, Min: 12.9
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 12.99266666666667
Score: 12.99266666666667
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 84
Running with params: {'burn': 10, 'chains': 2, 'n_samples': 1400, 'tune': 130}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_2_1400_130
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Timings: Avg: 14.361333333333336, Max: 14.5, Min: 13.57
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 14.361333333333336, Max: 14.5, Min: 13.57
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.361333333333336
Score: 14.361333333333336
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 85
Running with params: {'burn': 900, 'chains': 3, 'n_samples': 1100, 'tune': 270}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_900_3_1100_270
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Timings: Avg: 14.988666666666665, Max: 15.2, Min: 14.27
Passed tests : 0
Failed tests : 30
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Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 86
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 300, 'tune': 370}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_1_300_370
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Timings: Avg: 13.089666666666664, Max: 13.83, Min: 12.209999999999999
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 87
Running with params: {'burn': 20, 'chains': 6, 'n_samples': 400, 'tune': 740}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_20_6_400_740
Launching 30 jobs, 30 in parallel
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Timings: Avg: 17.155666666666665, Max: 18.299999999999997, Min: 16.060000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
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Evaluating 30 values out of 30
Overall-timings: Avg: 17.155666666666665, Max: 18.299999999999997, Min: 16.060000000000002
Variance (2.7083389842945504e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 17.155666666666665
Score: 17.155666666666665
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 88
Running with params: {'burn': 60, 'chains': 5, 'n_samples': 100, 'tune': 240}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_60_5_100_240
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.838333333333333, Max: 13.98, Min: 13.15
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.838333333333333, Max: 13.98, Min: 13.15
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.838333333333333
Score: 13.838333333333333
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 89
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 500, 'tune': 160}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_500_160
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.501999999999999, Max: 13.61, Min: 13.03
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.501999999999999, Max: 13.61, Min: 13.03
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.501999999999999
Score: 13.501999999999999
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 90
Running with params: {'burn': 30, 'chains': 1, 'n_samples': 600, 'tune': 300}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_30_1_600_300
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.380000000000003, Max: 13.54, Min: 12.68
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.380000000000003, Max: 13.54, Min: 12.68
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.380000000000003
Score: 13.380000000000003
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 91
Running with params: {'burn': 0, 'chains': None, 'n_samples': 200, 'tune': 490}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_None_200_490
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.677999999999999, Max: 14.8, Min: 14.48
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 92
Running with params: {'burn': 0, 'chains': 4, 'n_samples': 100, 'tune': 580}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_4_100_580
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Timings: Avg: 14.424333333333335, Max: 14.67, Min: 13.81
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Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 93
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 300, 'tune': 2030}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_1_300_2030
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.368333333333332, Max: 14.52, Min: 13.48
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 94
Running with params: {'burn': 0, 'chains': 3, 'n_samples': 200, 'tune': 130}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_3_200_130
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.526000000000002, Max: 13.700000000000001, Min: 12.870000000000001
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.526000000000002, Max: 13.700000000000001, Min: 12.870000000000001
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.526000000000002
Score: 13.526000000000002
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 95
Running with params: {'burn': 290, 'chains': 2, 'n_samples': 800, 'tune': 150}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_290_2_800_150
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.982000000000001, Max: 14.07, Min: 13.81
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 13.982000000000001, Max: 14.07, Min: 13.81
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 13.982000000000001
Score: 13.982000000000001
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 96
Running with params: {'burn': 40, 'chains': 1, 'n_samples': 400, 'tune': 2900}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_40_1_400_2900
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.84366666666667, Max: 15.0, Min: 14.06
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 97
Running with params: {'burn': 10, 'chains': 6, 'n_samples': 500, 'tune': 190}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_6_500_190
Launching 30 jobs, 30 in parallel
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Timings: Avg: 15.408333333333331, Max: 15.61, Min: 14.62
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 98
Running with params: {'burn': 0, 'chains': 5, 'n_samples': 100, 'tune': 220}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_5_100_220
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.01, Max: 14.17, Min: 13.34
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 99
Running with params: {'burn': 1940, 'chains': None, 'n_samples': 2500, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_1940_None_2500_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 19.019000000000002, Max: 20.689999999999998, Min: 18.03
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 19.019000000000002, Max: 20.689999999999998, Min: 18.03
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 19.019000000000002
Score: 19.019000000000002
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 100
Running with params: {'burn': 20, 'chains': 1, 'n_samples': 700, 'tune': 680}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_20_1_700_680
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.433333333333335, Max: 13.58, Min: 12.84
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 101
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 200, 'tune': 350}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_200_350
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.395000000000001, Max: 13.57, Min: 12.72
Passed tests : 0
Failed tests : 30
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All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 102
Running with params: {'burn': 50, 'chains': 4, 'n_samples': 300, 'tune': 4950}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_50_4_300_4950
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Timings: Avg: 27.703666666666667, Max: 33.34, Min: 24.79
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 27.703666666666667, Max: 33.34, Min: 24.79
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.703666666666667
Score: 27.703666666666667
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 103
Running with params: {'burn': 0, 'chains': 3, 'n_samples': 900, 'tune': 120}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_3_900_120
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.645000000000001, Max: 14.8, Min: 14.149999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 14.645000000000001, Max: 14.8, Min: 14.149999999999999
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 14.645000000000001
Score: 14.645000000000001
Best-score: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 104
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 100, 'tune': 110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_1_100_110
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.075, Max: 13.24, Min: 12.899999999999999
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: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 105
Running with params: {'burn': 0, 'chains': 2, 'n_samples': 400, 'tune': 150}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_2_400_150
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.564999999999998, Max: 13.73, Min: 12.82
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: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 106
Running with params: {'burn': 0, 'chains': 1, 'n_samples': 200, 'tune': 170}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_0_1_200_170
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.313333333333336, Max: 13.41, Min: 13.05
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: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 107
Running with params: {'burn': 10, 'chains': 5, 'n_samples': 100, 'tune': 440}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_10_5_100_440
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.856333333333334, Max: 15.059999999999999, Min: 14.2
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: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Optimization Iteration: 108
Running with params: {'burn': 170, 'chains': 6, 'n_samples': 300, 'tune': 210}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed_2/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1598228078_pymc3/run_1598240746/assert_18524159_170_6_300_210
Launching 30 jobs, 30 in parallel
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Timings: Avg: 15.122333333333332, Max: 15.51, Min: 14.39
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: 11.427333333333339
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 200, 'tune': 110}
Upto iteration 200: {'burn': 10.0, 'chains': 0, 'n_samples': 200.0, 'tune': 110.0}
Breaking...
{'burn': 10.0, 'chains': 0, 'n_samples': 200.0, 'tune': 110.0}
Best score: 11.427333333333339
Repeated params: 0
Trials: 109
Best param {'burn': 10.0, 'chains': 0, 'n_samples': 200.0, 'tune': 110.0}
Reduction: 51.635794196069575%
Speedup: 2.0676448281897204x
Optimizer time: 24619.265163183212
