Repo: pymc3
Filename: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/projects/pymc3/pymc3/tests/test_posteriors.py
ClassName: TestNUTSUniform2
Testname: test_mean
Params: n_samples,21,16,ParamType.ITER,10000
tune,22,11,ParamType.ITER,1000
burn,23,11,ParamType.ITER,1000
chains,24,13,ParamType.CHAINS,4
Assertion: npt.assert_allclose(expected, samples.mean(0), rtol=0.1, atol=0.05)
Original runtime: 68.252
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'n_samples': 10000, 'tune': 1000, 'burn': 1000, 'chains': 4}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_10000_1000_1000_4
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Timings: Avg: 58.87266666666666, Max: 69.19, Min: 50.849999999999994
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 58.87266666666666, Max: 69.19, Min: 50.849999999999994
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 58.87266666666666
Score: 58.87266666666666
Best-score: 58.87266666666666
Best-param: {'n_samples': 10000, 'tune': 1000, 'burn': 1000, 'chains': 4}
>>Setting original runtime to 58.87266666666666
Optimization Iteration: 1
Running with params: {'burn': 40, 'chains': 6, 'n_samples': 4700, 'tune': 1730}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_40_6_4700_1730
Launching 30 jobs, 30 in parallel
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Timings: Avg: 57.795999999999985, Max: 67.74, Min: 49.25
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 57.795999999999985, Max: 67.74, Min: 49.25
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 57.795999999999985
Score: 57.795999999999985
Best-score: 57.795999999999985
Best-param: {'burn': 40, 'chains': 6, 'n_samples': 4700, 'tune': 1730}
Optimization Iteration: 2
Running with params: {'burn': 640, 'chains': 6, 'n_samples': 800, 'tune': 230}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_640_6_800_230
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.607666666666667, Max: 32.94, Min: 29.39
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 30.607666666666667, Max: 32.94, Min: 29.39
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 30.607666666666667
Score: 30.607666666666667
Best-score: 30.607666666666667
Best-param: {'burn': 640, 'chains': 6, 'n_samples': 800, 'tune': 230}
Optimization Iteration: 3
Running with params: {'burn': 850, 'chains': 2, 'n_samples': 5400, 'tune': 3520}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_850_2_5400_3520
Launching 30 jobs, 30 in parallel
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Timings: Avg: 38.61600000000001, Max: 42.760000000000005, Min: 35.88
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 38.61600000000001, Max: 42.760000000000005, Min: 35.88
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 38.61600000000001
Score: 38.61600000000001
Best-score: 30.607666666666667
Best-param: {'burn': 640, 'chains': 6, 'n_samples': 800, 'tune': 230}
Optimization Iteration: 4
Running with params: {'burn': 80, 'chains': 1, 'n_samples': 300, 'tune': 130}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_80_1_300_130
Launching 30 jobs, 30 in parallel
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Timings: Avg: 25.612333333333332, Max: 26.23, Min: 25.25
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: 30.607666666666667
Best-param: {'burn': 640, 'chains': 6, 'n_samples': 800, 'tune': 230}
Optimization Iteration: 5
Running with params: {'burn': 90, 'chains': 6, 'n_samples': 800, 'tune': 210}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_90_6_800_210
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.47733333333333, Max: 32.06, Min: 29.35
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 30.47733333333333, Max: 32.06, Min: 29.35
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 30.47733333333333
Score: 30.47733333333333
Best-score: 30.47733333333333
Best-param: {'burn': 90, 'chains': 6, 'n_samples': 800, 'tune': 210}
Optimization Iteration: 6
Running with params: {'burn': 60, 'chains': 5, 'n_samples': 500, 'tune': 3760}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_60_5_500_3760
Launching 30 jobs, 30 in parallel
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Timings: Avg: 44.66600000000001, Max: 50.809999999999995, Min: 39.54
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 44.66600000000001, Max: 50.809999999999995, Min: 39.54
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 44.66600000000001
Score: 44.66600000000001
Best-score: 30.47733333333333
Best-param: {'burn': 90, 'chains': 6, 'n_samples': 800, 'tune': 210}
Optimization Iteration: 7
Running with params: {'burn': 80, 'chains': 2, 'n_samples': 100, 'tune': 190}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_80_2_100_190
Launching 30 jobs, 30 in parallel
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Timings: Avg: 25.83566666666667, Max: 26.14, Min: 25.369999999999997
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: 30.47733333333333
Best-param: {'burn': 90, 'chains': 6, 'n_samples': 800, 'tune': 210}
Optimization Iteration: 8
Running with params: {'burn': 630, 'chains': 6, 'n_samples': 300, 'tune': 530}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_630_6_300_530
Launching 30 jobs, 30 in parallel
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Timings: Avg: 29.771, Max: 31.169999999999998, Min: 28.900000000000002
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: 30.47733333333333
Best-param: {'burn': 90, 'chains': 6, 'n_samples': 800, 'tune': 210}
Optimization Iteration: 9
Running with params: {'burn': 1320, 'chains': 1, 'n_samples': 600, 'tune': 640}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_1320_1_600_640
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Timings: Avg: 26.348000000000003, Max: 27.009999999999998, Min: 26.03
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: 30.47733333333333
Best-param: {'burn': 90, 'chains': 6, 'n_samples': 800, 'tune': 210}
Optimization Iteration: 10
Running with params: {'burn': 80, 'chains': 1, 'n_samples': 900, 'tune': 310}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_80_1_900_310
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.302666666666664, Max: 27.18, Min: 26.03
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 26.302666666666664, Max: 27.18, Min: 26.03
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 26.302666666666664
Score: 26.302666666666664
Best-score: 26.302666666666664
Best-param: {'burn': 80, 'chains': 1, 'n_samples': 900, 'tune': 310}
Optimization Iteration: 11
Running with params: {'burn': 120, 'chains': 2, 'n_samples': 6700, 'tune': 4340}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_120_2_6700_4340
Launching 30 jobs, 30 in parallel
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Timings: Avg: 44.352, Max: 48.269999999999996, Min: 39.78
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 44.352, Max: 48.269999999999996, Min: 39.78
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 44.352
Score: 44.352
Best-score: 26.302666666666664
Best-param: {'burn': 80, 'chains': 1, 'n_samples': 900, 'tune': 310}
Optimization Iteration: 12
Running with params: {'burn': 180, 'chains': 4, 'n_samples': 3300, 'tune': 660}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_180_4_3300_660
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.416999999999994, Max: 40.230000000000004, Min: 34.8
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 36.416999999999994, Max: 40.230000000000004, Min: 34.8
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.416999999999994
Score: 36.416999999999994
Best-score: 26.302666666666664
Best-param: {'burn': 80, 'chains': 1, 'n_samples': 900, 'tune': 310}
Optimization Iteration: 13
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_10_1_1200_290
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.251333333333328, Max: 26.55, Min: 24.73
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 26.251333333333328, Max: 26.55, Min: 24.73
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 26.251333333333328
Score: 26.251333333333328
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 14
Running with params: {'burn': 20, 'chains': 1, 'n_samples': 200, 'tune': 1110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_20_1_200_1110
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.41866666666667, Max: 26.83, Min: 26.16
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 26.41866666666667, Max: 26.83, Min: 26.16
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 26.41866666666667
Score: 26.41866666666667
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 15
Running with params: {'burn': 20, 'chains': None, 'n_samples': 1300, 'tune': 1390}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_20_None_1300_1390
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Timings: Avg: 34.11666666666667, Max: 37.019999999999996, Min: 32.33
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 34.11666666666667, Max: 37.019999999999996, Min: 32.33
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.11666666666667
Score: 34.11666666666667
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 16
Running with params: {'burn': 20, 'chains': 4, 'n_samples': 4500, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_20_4_4500_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 39.33633333333333, Max: 45.629999999999995, Min: 37.24
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: 39.33633333333333, Max: 45.629999999999995, Min: 37.24
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 39.33633333333333
Score: 39.33633333333333
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 17
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 100, 'tune': 3900}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_10_1_100_3900
Launching 30 jobs, 30 in parallel
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Timings: Avg: 28.73066666666666, Max: 30.020000000000003, Min: 27.310000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 28.73066666666666, Max: 30.020000000000003, Min: 27.310000000000002
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 28.73066666666666
Score: 28.73066666666666
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 18
Running with params: {'burn': 830, 'chains': 5, 'n_samples': 4000, 'tune': 530}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_830_5_4000_530
Launching 30 jobs, 30 in parallel
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Timings: Avg: 43.339999999999996, Max: 50.85, Min: 39.650000000000006
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 43.339999999999996, Max: 50.85, Min: 39.650000000000006
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 43.339999999999996
Score: 43.339999999999996
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 19
Running with params: {'burn': 1490, 'chains': 5, 'n_samples': 6700, 'tune': 620}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_1490_5_6700_620
Launching 30 jobs, 30 in parallel
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Timings: Avg: 54.67, Max: 62.980000000000004, Min: 47.07
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: 54.67, Max: 62.980000000000004, Min: 47.07
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 54.67
Score: 54.67
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 20
Running with params: {'burn': 50, 'chains': 6, 'n_samples': 900, 'tune': 660}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_50_6_900_660
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.37866666666667, Max: 35.71, Min: 31.6
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 33.37866666666667, Max: 35.71, Min: 31.6
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.37866666666667
Score: 33.37866666666667
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 21
Running with params: {'burn': 300, 'chains': 3, 'n_samples': 1900, 'tune': 340}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_300_3_1900_340
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.664333333333335, Max: 32.53, Min: 29.66
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 30.664333333333335, Max: 32.53, Min: 29.66
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 30.664333333333335
Score: 30.664333333333335
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 22
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 2000, 'tune': 370}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_10_1_2000_370
Launching 30 jobs, 30 in parallel
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Timings: Avg: 27.31600000000001, Max: 28.54, Min: 26.810000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 27.31600000000001, Max: 28.54, Min: 26.810000000000002
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.31600000000001
Score: 27.31600000000001
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 23
Running with params: {'burn': 260, 'chains': 1, 'n_samples': 1700, 'tune': 330}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_260_1_1700_330
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.89333333333333, Max: 27.73, Min: 26.490000000000002
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: 26.89333333333333, Max: 27.73, Min: 26.490000000000002
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 26.89333333333333
Score: 26.89333333333333
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 24
Running with params: {'burn': 30, 'chains': 3, 'n_samples': 2600, 'tune': 140}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_30_3_2600_140
Launching 30 jobs, 30 in parallel
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Timings: Avg: 31.565333333333335, Max: 32.97, Min: 30.88
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 31.565333333333335, Max: 32.97, Min: 30.88
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 31.565333333333335
Score: 31.565333333333335
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Upto iteration 50: {'burn': 10.0, 'chains': 0, 'n_samples': 1200.0, 'tune': 290.0}
Optimization Iteration: 25
Running with params: {'burn': 10, 'chains': None, 'n_samples': 1300, 'tune': 270}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_10_None_1300_270
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.450000000000003, Max: 31.28, Min: 28.78
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 30.450000000000003, Max: 31.28, Min: 28.78
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 30.450000000000003
Score: 30.450000000000003
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 26
Running with params: {'burn': 300, 'chains': 1, 'n_samples': 400, 'tune': 1020}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_300_1_400_1020
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.936999999999994, Max: 27.240000000000002, Min: 26.41
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 26.936999999999994, Max: 27.240000000000002, Min: 26.41
Variance (1.692711865184094e-36) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 26.936999999999994
Score: 26.936999999999994
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 27
Running with params: {'burn': 30, 'chains': 1, 'n_samples': 200, 'tune': 150}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_30_1_200_150
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.219, Max: 26.65, Min: 25.07
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: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 28
Running with params: {'burn': 160, 'chains': None, 'n_samples': 1300, 'tune': 430}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_160_None_1300_430
Launching 30 jobs, 30 in parallel
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Timings: Avg: 31.790999999999997, Max: 33.12, Min: 30.810000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 31.790999999999997, Max: 33.12, Min: 30.810000000000002
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 31.790999999999997
Score: 31.790999999999997
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 29
Running with params: {'burn': 40, 'chains': 1, 'n_samples': 600, 'tune': 2010}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_40_1_600_2010
Launching 30 jobs, 30 in parallel
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Timings: Avg: 27.76366666666667, Max: 28.73, Min: 26.520000000000003
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 27.76366666666667, Max: 28.73, Min: 26.520000000000003
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.76366666666667
Score: 27.76366666666667
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 30
Running with params: {'burn': 390, 'chains': 3, 'n_samples': 2600, 'tune': 110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_390_3_2600_110
Launching 30 jobs, 30 in parallel
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Timings: Avg: 32.62866666666667, Max: 34.51, Min: 30.68
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 32.62866666666667, Max: 34.51, Min: 30.68
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 32.62866666666667
Score: 32.62866666666667
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 31
Running with params: {'burn': 10, 'chains': 4, 'n_samples': 1000, 'tune': 260}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_10_4_1000_260
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.06133333333333, Max: 31.419999999999998, Min: 28.09
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 30.06133333333333, Max: 31.419999999999998, Min: 28.09
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 30.06133333333333
Score: 30.06133333333333
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 32
Running with params: {'burn': 1970, 'chains': 1, 'n_samples': 200, 'tune': 820}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_1970_1_200_820
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.658000000000005, Max: 27.66, Min: 25.650000000000002
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: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 33
Running with params: {'burn': 20, 'chains': 2, 'n_samples': 8700, 'tune': 180}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_20_2_8700_180
Launching 30 jobs, 30 in parallel
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Timings: Avg: 41.30499999999999, Max: 45.17, Min: 37.449999999999996
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 41.30499999999999, Max: 45.17, Min: 37.449999999999996
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 41.30499999999999
Score: 41.30499999999999
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 34
Running with params: {'burn': 480, 'chains': 1, 'n_samples': 400, 'tune': 280}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_480_1_400_280
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.444666666666667, Max: 26.759999999999998, Min: 26.16
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: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 35
Running with params: {'burn': 120, 'chains': 5, 'n_samples': 700, 'tune': 2470}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_120_5_700_2470
Launching 30 jobs, 30 in parallel
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Timings: Avg: 37.704, Max: 43.17, Min: 36.42
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 37.704, Max: 43.17, Min: 36.42
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 37.704
Score: 37.704
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 36
Running with params: {'burn': 60, 'chains': 6, 'n_samples': 1200, 'tune': 410}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_60_6_1200_410
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.675, Max: 37.66, Min: 32.379999999999995
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 34.675, Max: 37.66, Min: 32.379999999999995
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.675
Score: 34.675
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 37
Running with params: {'burn': 200, 'chains': 1, 'n_samples': 300, 'tune': 170}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_200_1_300_170
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.471333333333334, Max: 26.8, Min: 26.22
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: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 38
Running with params: {'burn': 30, 'chains': 2, 'n_samples': 1700, 'tune': 220}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_30_2_1700_220
Launching 30 jobs, 30 in parallel
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Timings: Avg: 29.056333333333335, Max: 30.07, Min: 28.38
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 29.056333333333335, Max: 30.07, Min: 28.38
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 29.056333333333335
Score: 29.056333333333335
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 39
Running with params: {'burn': 80, 'chains': 4, 'n_samples': 500, 'tune': 490}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_80_4_500_490
Launching 30 jobs, 30 in parallel
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Timings: Avg: 29.35633333333334, Max: 30.259999999999998, Min: 27.939999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 29.35633333333334, Max: 30.259999999999998, Min: 27.939999999999998
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 29.35633333333334
Score: 29.35633333333334
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 40
Running with params: {'burn': 110, 'chains': 3, 'n_samples': 2500, 'tune': 110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_110_3_2500_110
Launching 30 jobs, 30 in parallel
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Timings: Avg: 32.00366666666667, Max: 34.57, Min: 31.14
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 32.00366666666667, Max: 34.57, Min: 31.14
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 32.00366666666667
Score: 32.00366666666667
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 41
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 800, 'tune': 930}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_10_1_800_930
Launching 30 jobs, 30 in parallel
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Timings: Avg: 27.666999999999998, Max: 28.38, Min: 27.169999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 27.666999999999998, Max: 28.38, Min: 27.169999999999998
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.666999999999998
Score: 27.666999999999998
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 42
Running with params: {'burn': 40, 'chains': None, 'n_samples': 100, 'tune': 1380}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_40_None_100_1380
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.98733333333333, Max: 33.42, Min: 30.189999999999998
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: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 43
Running with params: {'burn': 1120, 'chains': 6, 'n_samples': 3200, 'tune': 240}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_1120_6_3200_240
Launching 30 jobs, 30 in parallel
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Timings: Avg: 44.25533333333335, Max: 49.6, Min: 40.059999999999995
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 44.25533333333335, Max: 49.6, Min: 40.059999999999995
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 44.25533333333335
Score: 44.25533333333335
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 44
Running with params: {'burn': 70, 'chains': 1, 'n_samples': 300, 'tune': 310}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_70_1_300_310
Launching 30 jobs, 30 in parallel
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Timings: Avg: 26.688333333333333, Max: 26.93, Min: 25.400000000000002
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: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 45
Running with params: {'burn': 20, 'chains': 2, 'n_samples': 5700, 'tune': 830}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_20_2_5700_830
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.35799999999999, Max: 39.0, Min: 34.08
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 36.35799999999999, Max: 39.0, Min: 34.08
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.35799999999999
Score: 36.35799999999999
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 46
Running with params: {'burn': 610, 'chains': 5, 'n_samples': 1100, 'tune': 470}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_610_5_1100_470
Launching 30 jobs, 30 in parallel
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Timings: Avg: 32.29566666666667, Max: 35.37, Min: 31.02
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 32.29566666666667, Max: 35.37, Min: 31.02
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 32.29566666666667
Score: 32.29566666666667
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 47
Running with params: {'burn': 220, 'chains': 4, 'n_samples': 600, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_220_4_600_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 28.99166666666667, Max: 30.53, Min: 28.45
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 28.99166666666667, Max: 30.53, Min: 28.45
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 28.99166666666667
Score: 28.99166666666667
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 48
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 1500, 'tune': 130}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_10_1_1500_130
Launching 30 jobs, 30 in parallel
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Timings: Avg: 27.528000000000006, Max: 28.580000000000002, Min: 27.14
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 27.528000000000006, Max: 28.580000000000002, Min: 27.14
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.528000000000006
Score: 27.528000000000006
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Optimization Iteration: 49
Running with params: {'burn': 100, 'chains': 6, 'n_samples': 3400, 'tune': 160}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598030497/assert_60523825_100_6_3400_160
Launching 30 jobs, 30 in parallel
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Timings: Avg: 45.19533333333333, Max: 50.769999999999996, Min: 40.34
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 45.19533333333333, Max: 50.769999999999996, Min: 40.34
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 45.19533333333333
Score: 45.19533333333333
Best-score: 26.251333333333328
Best-param: {'burn': 10, 'chains': 1, 'n_samples': 1200, 'tune': 290}
Upto iteration 100: {'burn': 10.0, 'chains': 0, 'n_samples': 1200.0, 'tune': 290.0}
Breaking...
{'burn': 10.0, 'chains': 0, 'n_samples': 1200.0, 'tune': 290.0}
Best score: 26.251333333333328
Repeated params: 0
Trials: 50
Best param {'burn': 10.0, 'chains': 0, 'n_samples': 1200.0, 'tune': 290.0}
Reduction: 55.40998086265274%
Speedup: 2.242654341366788x
Optimizer time: 12479.943838834763
