Repo: pymc3
Filename: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/projects/pymc3/pymc3/tests/test_posteriors.py
ClassName: TestNUTSUniform
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: 55.205000000000005
>>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_1598043235/assert_6360970_10000_1000_1000_4
Launching 30 jobs, 30 in parallel
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Timings: Avg: 57.18900000000001, Max: 66.25, Min: 49.900000000000006
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 57.18900000000001, Max: 66.25, Min: 49.900000000000006
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 57.18900000000001
Score: 57.18900000000001
Best-score: 57.18900000000001
Best-param: {'n_samples': 10000, 'tune': 1000, 'burn': 1000, 'chains': 4}
>>Setting original runtime to 57.18900000000001
Optimization Iteration: 1
Running with params: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_40_3_100_240
Launching 30 jobs, 30 in parallel
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Timings: Avg: 27.967333333333332, Max: 29.72, Min: 26.68
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 27.967333333333332, Max: 29.72, Min: 26.68
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.967333333333332
Score: 27.967333333333332
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 2
Running with params: {'burn': 30, 'chains': 1, 'n_samples': 1500, 'tune': 1890}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_30_1_1500_1890
Launching 30 jobs, 30 in parallel
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Timings: Avg: 28.798, Max: 30.619999999999997, Min: 27.9
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 28.798, Max: 30.619999999999997, Min: 27.9
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 28.798
Score: 28.798
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 3
Running with params: {'burn': 1180, 'chains': 4, 'n_samples': 200, 'tune': 460}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_1180_4_200_460
Launching 30 jobs, 30 in parallel
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Timings: Avg: 28.528, Max: 29.46, Min: 28.130000000000003
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: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 4
Running with params: {'burn': 200, 'chains': None, 'n_samples': 300, 'tune': 620}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_200_None_300_620
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.72466666666667, Max: 31.810000000000002, 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: 30.72466666666667, Max: 31.810000000000002, Min: 29.66
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 30.72466666666667
Score: 30.72466666666667
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 5
Running with params: {'burn': 570, 'chains': 2, 'n_samples': 4200, 'tune': 770}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_570_2_4200_770
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.23799999999999, Max: 37.489999999999995, Min: 32.99
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 34.23799999999999, Max: 37.489999999999995, Min: 32.99
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.23799999999999
Score: 34.23799999999999
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 6
Running with params: {'burn': 230, 'chains': 6, 'n_samples': 8400, 'tune': 210}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_230_6_8400_210
Launching 30 jobs, 30 in parallel
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Timings: Avg: 66.89933333333333, Max: 75.78999999999999, Min: 56.33
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 66.89933333333333, Max: 75.78999999999999, Min: 56.33
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 66.89933333333333
Score: 66.89933333333333
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 7
Running with params: {'burn': 30, 'chains': 4, 'n_samples': 6200, 'tune': 290}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_30_4_6200_290
Launching 30 jobs, 30 in parallel
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Timings: Avg: 46.68866666666667, Max: 52.699999999999996, Min: 41.68
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 46.68866666666667, Max: 52.699999999999996, Min: 41.68
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 46.68866666666667
Score: 46.68866666666667
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 8
Running with params: {'burn': 1460, 'chains': 6, 'n_samples': 9600, 'tune': 110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_1460_6_9600_110
Launching 30 jobs, 30 in parallel
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Timings: Avg: 71.62166666666666, Max: 83.49, Min: 61.33
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 71.62166666666666, Max: 83.49, Min: 61.33
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 71.62166666666666
Score: 71.62166666666666
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 9
Running with params: {'burn': 60, 'chains': 3, 'n_samples': 4100, 'tune': 590}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_60_3_4100_590
Launching 30 jobs, 30 in parallel
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Timings: Avg: 38.900333333333336, Max: 42.31, Min: 36.05
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 38.900333333333336, Max: 42.31, Min: 36.05
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 38.900333333333336
Score: 38.900333333333336
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 10
Running with params: {'burn': 890, 'chains': 5, 'n_samples': 1000, 'tune': 1690}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_890_5_1000_1690
Launching 30 jobs, 30 in parallel
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Timings: Avg: 38.36299999999999, Max: 42.31, Min: 27.75
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 38.36299999999999, Max: 42.31, Min: 27.75
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 38.36299999999999
Score: 38.36299999999999
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 11
Running with params: {'burn': 1610, 'chains': 3, 'n_samples': 200, 'tune': 910}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_1610_3_200_910
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.483333333333338, Max: 32.18, Min: 30.05
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: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 12
Running with params: {'burn': 690, 'chains': 4, 'n_samples': 4200, 'tune': 2050}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_690_4_4200_2050
Launching 30 jobs, 30 in parallel
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Timings: Avg: 49.79233333333334, Max: 53.230000000000004, Min: 43.29
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 49.79233333333334, Max: 53.230000000000004, Min: 43.29
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 49.79233333333334
Score: 49.79233333333334
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 13
Running with params: {'burn': 1340, 'chains': 4, 'n_samples': 300, 'tune': 120}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_1340_4_300_120
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.146333333333335, Max: 31.26, Min: 29.64
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 14
Running with params: {'burn': 20, '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_1598043235/assert_6360970_20_4_600_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 32.133, Max: 33.56, Min: 29.16
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 32.133, Max: 33.56, Min: 29.16
Variance (1.0833355937178202e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 32.133
Score: 32.133
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 15
Running with params: {'burn': 780, 'chains': None, 'n_samples': 2100, 'tune': 1070}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_780_None_2100_1070
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Timings: Avg: 37.32133333333333, Max: 41.269999999999996, Min: 35.7
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 37.32133333333333, Max: 41.269999999999996, Min: 35.7
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 37.32133333333333
Score: 37.32133333333333
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 16
Running with params: {'burn': 600, 'chains': 2, 'n_samples': 2300, 'tune': 400}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_600_2_2300_400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.29900000000001, Max: 35.34, Min: 32.73
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 33.29900000000001, Max: 35.34, Min: 32.73
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.29900000000001
Score: 33.29900000000001
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 17
Running with params: {'burn': 1750, 'chains': 5, 'n_samples': 1300, 'tune': 1680}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_1750_5_1300_1680
Launching 30 jobs, 30 in parallel
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Timings: Avg: 40.62166666666668, Max: 44.72, Min: 38.99
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: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 18
Running with params: {'burn': 190, 'chains': 4, 'n_samples': 700, 'tune': 570}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_190_4_700_570
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.532, Max: 36.19, Min: 33.64
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 34.532, Max: 36.19, Min: 33.64
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.532
Score: 34.532
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 19
Running with params: {'burn': 870, '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_1598043235/assert_6360970_870_1_200_150
Launching 30 jobs, 30 in parallel
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Timings: Avg: 30.32, Max: 31.91, Min: 29.869999999999997
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: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 20
Running with params: {'burn': 20, 'chains': 5, 'n_samples': 800, 'tune': 2780}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_20_5_800_2780
Launching 30 jobs, 30 in parallel
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Timings: Avg: 44.80233333333333, Max: 48.790000000000006, Min: 41.33
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 44.80233333333333, Max: 48.790000000000006, Min: 41.33
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 44.80233333333333
Score: 44.80233333333333
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 21
Running with params: {'burn': 70, 'chains': 1, 'n_samples': 100, 'tune': 3510}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_70_1_100_3510
Launching 30 jobs, 30 in parallel
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Timings: Avg: 32.98633333333333, Max: 35.32, Min: 32.339999999999996
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 32.98633333333333, Max: 35.32, Min: 32.339999999999996
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 32.98633333333333
Score: 32.98633333333333
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 22
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 1700, 'tune': 4920}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_10_3_1700_4920
Launching 30 jobs, 30 in parallel
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Timings: Avg: 45.10999999999999, Max: 50.629999999999995, Min: 42.39
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 45.10999999999999, Max: 50.629999999999995, Min: 42.39
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 45.10999999999999
Score: 45.10999999999999
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 23
Running with params: {'burn': 70, 'chains': 1, 'n_samples': 500, 'tune': 1340}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_70_1_500_1340
Launching 30 jobs, 30 in parallel
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Timings: Avg: 32.415333333333336, Max: 35.56, Min: 29.229999999999997
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 32.415333333333336, Max: 35.56, Min: 29.229999999999997
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 32.415333333333336
Score: 32.415333333333336
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Upto iteration 50: {'burn': 40.0, 'chains': 2, 'n_samples': 100.0, 'tune': 240.0}
Optimization Iteration: 24
Running with params: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 300}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_40_3_100_300
Launching 30 jobs, 30 in parallel
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Timings: Avg: 31.716, Max: 33.3, Min: 30.39
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 31.716, Max: 33.3, Min: 30.39
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 31.716
Score: 31.716
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 25
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 2900, 'tune': 1120}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_10_1_2900_1120
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.60866666666667, Max: 35.26, Min: 32.85
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 33.60866666666667, Max: 35.26, Min: 32.85
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.60866666666667
Score: 33.60866666666667
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 26
Running with params: {'burn': 110, 'chains': 1, 'n_samples': 1300, 'tune': 3170}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_110_1_1300_3170
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.95166666666667, Max: 36.61, Min: 29.41
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 33.95166666666667, Max: 36.61, Min: 29.41
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.95166666666667
Score: 33.95166666666667
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 27
Running with params: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 4840}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_20_3_400_4840
Launching 30 jobs, 30 in parallel
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Timings: Avg: 43.043000000000006, Max: 48.11, Min: 41.129999999999995
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 43.043000000000006, Max: 48.11, Min: 41.129999999999995
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 43.043000000000006
Score: 43.043000000000006
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 28
Running with params: {'burn': 40, 'chains': 2, 'n_samples': 1100, 'tune': 2470}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_40_2_1100_2470
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.91733333333333, Max: 39.36, Min: 35.79
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 36.91733333333333, Max: 39.36, Min: 35.79
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.91733333333333
Score: 36.91733333333333
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 29
Running with params: {'burn': 110, 'chains': 1, 'n_samples': 2900, 'tune': 370}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_110_1_2900_370
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.108, Max: 36.39, Min: 33.27
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 34.108, Max: 36.39, Min: 33.27
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.108
Score: 34.108
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 30
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 100, 'tune': 180}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_10_3_100_180
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.51266666666667, Max: 42.05, Min: 31.830000000000002
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: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 31
Running with params: {'burn': 360, 'chains': None, 'n_samples': 300, 'tune': 270}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_360_None_300_270
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.99699999999999, Max: 38.510000000000005, Min: 26.279999999999998
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: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 32
Running with params: {'burn': 30, 'chains': 6, 'n_samples': 1700, 'tune': 480}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_30_6_1700_480
Launching 30 jobs, 30 in parallel
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Timings: Avg: 41.447, Max: 45.39, Min: 24.009999999999998
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 41.447, Max: 45.39, Min: 24.009999999999998
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 41.447
Score: 41.447
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 33
Running with params: {'burn': 50, 'chains': None, 'n_samples': 400, 'tune': 770}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_50_None_400_770
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.244666666666674, Max: 39.47, Min: 23.240000000000002
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 35.244666666666674, Max: 39.47, Min: 23.240000000000002
Variance (1.0833355937178202e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.244666666666674
Score: 35.244666666666674
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 34
Running with params: {'burn': 100, 'chains': 2, 'n_samples': 6300, 'tune': 3820}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_100_2_6300_3820
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Timings: Avg: 46.167, Max: 50.95, Min: 23.29
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 46.167, Max: 50.95, Min: 23.29
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 46.167
Score: 46.167
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 35
Running with params: {'burn': 20, 'chains': 6, 'n_samples': 100, 'tune': 1520}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_20_6_100_1520
Launching 30 jobs, 30 in parallel
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Timings: Avg: 39.24699999999999, Max: 42.03, Min: 23.26
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 39.24699999999999, Max: 42.03, Min: 23.26
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 39.24699999999999
Score: 39.24699999999999
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 36
Running with params: {'burn': 260, 'chains': 3, 'n_samples': 200, 'tune': 2200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_260_3_200_2200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 37.19566666666666, Max: 40.07, Min: 22.880000000000003
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: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 37
Running with params: {'burn': 10, 'chains': 1, 'n_samples': 900, 'tune': 250}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_10_1_900_250
Launching 30 jobs, 30 in parallel
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Timings: Avg: 32.61933333333334, Max: 36.4, Min: 23.55
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 32.61933333333334, Max: 36.4, Min: 23.55
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 32.61933333333334
Score: 32.61933333333334
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 38
Running with params: {'burn': 30, 'chains': 3, 'n_samples': 3100, 'tune': 140}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_30_3_3100_140
Launching 30 jobs, 30 in parallel
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Timings: Avg: 38.72266666666666, Max: 41.92, Min: 23.48
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 38.72266666666666, Max: 41.92, Min: 23.48
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 38.72266666666666
Score: 38.72266666666666
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 39
Running with params: {'burn': 160, 'chains': 5, 'n_samples': 6400, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_160_5_6400_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 54.37633333333334, Max: 63.760000000000005, Min: 23.009999999999998
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 54.37633333333334, Max: 63.760000000000005, Min: 23.009999999999998
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 54.37633333333334
Score: 54.37633333333334
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 40
Running with params: {'burn': 300, 'chains': 1, 'n_samples': 4600, 'tune': 690}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_300_1_4600_690
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.01500000000001, Max: 36.46, Min: 26.83
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 35.01500000000001, Max: 36.46, Min: 26.83
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.01500000000001
Score: 35.01500000000001
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 41
Running with params: {'burn': 430, 'chains': 6, 'n_samples': 8200, 'tune': 950}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_430_6_8200_950
Launching 30 jobs, 30 in parallel
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Timings: Avg: 70.656, Max: 83.96, Min: 23.299999999999997
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 70.656, Max: 83.96, Min: 23.299999999999997
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 70.656
Score: 70.656
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 42
Running with params: {'burn': 90, 'chains': None, 'n_samples': 600, 'tune': 490}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_90_None_600_490
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.349333333333334, Max: 40.11, Min: 23.1
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 35.349333333333334, Max: 40.11, Min: 23.1
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.349333333333334
Score: 35.349333333333334
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 43
Running with params: {'burn': 50, 'chains': 3, 'n_samples': 1700, 'tune': 320}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_50_3_1700_320
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.53800000000001, Max: 39.09, Min: 23.32
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 36.53800000000001, Max: 39.09, Min: 23.32
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.53800000000001
Score: 36.53800000000001
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 44
Running with params: {'burn': 30, 'chains': 2, 'n_samples': 400, 'tune': 1960}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_30_2_400_1960
Launching 30 jobs, 30 in parallel
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Not found ::: 
Timings: Avg: 35.467333333333336, Max: 39.019999999999996, Min: 23.28
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Optimization Iteration: 45
Running with params: {'burn': 10, 'chains': 4, 'n_samples': 1200, 'tune': 1290}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598043235/assert_6360970_10_4_1200_1290
Launching 30 jobs, 30 in parallel
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Timings: Avg: 38.764, Max: 41.72, Min: 23.39
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 38.764, Max: 41.72, Min: 23.39
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 38.764
Score: 38.764
Best-score: 27.967333333333332
Best-param: {'burn': 40, 'chains': 3, 'n_samples': 100, 'tune': 240}
Upto iteration 100: {'burn': 40.0, 'chains': 2, 'n_samples': 100.0, 'tune': 240.0}
Breaking...
{'burn': 40.0, 'chains': 2, 'n_samples': 100.0, 'tune': 240.0}
Best score: 27.967333333333332
Repeated params: 0
Trials: 46
Best param {'burn': 40.0, 'chains': 2, 'n_samples': 100.0, 'tune': 240.0}
Reduction: 51.096656116852316%
Speedup: 2.0448499439822654x
Optimizer time: 12322.862518787384
