Repo: pymc3
Filename: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/projects/pymc3/pymc3/tests/test_posteriors.py
ClassName: TestNUTSUniform3
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: 70.47099999999999
>>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_1598055846/assert_73167658_10000_1000_1000_4
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Timings: Avg: 64.002, Max: 73.10000000000001, Min: 23.37
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 64.002, Max: 73.10000000000001, Min: 23.37
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 64.002
Score: 64.002
Best-score: 64.002
Best-param: {'n_samples': 10000, 'tune': 1000, 'burn': 1000, 'chains': 4}
>>Setting original runtime to 64.002
Optimization Iteration: 1
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 100, 'tune': 3000}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_10_3_100_3000
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Timings: Avg: 39.55733333333333, Max: 44.67, Min: 23.33
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 39.55733333333333, Max: 44.67, Min: 23.33
Variance (1.0833355937178202e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 39.55733333333333
Score: 39.55733333333333
Best-score: 39.55733333333333
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 100, 'tune': 3000}
Optimization Iteration: 2
Running with params: {'burn': 10, 'chains': 2, 'n_samples': 3500, 'tune': 2400}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_10_2_3500_2400
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Timings: Avg: 40.591666666666676, Max: 44.8, Min: 23.61
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 40.591666666666676, Max: 44.8, Min: 23.61
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 40.591666666666676
Score: 40.591666666666676
Best-score: 39.55733333333333
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 100, 'tune': 3000}
Optimization Iteration: 3
Running with params: {'burn': 490, 'chains': 3, 'n_samples': 200, 'tune': 380}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_490_3_200_380
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Timings: Avg: 33.752, Max: 37.15, Min: 23.4
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: 39.55733333333333
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 100, 'tune': 3000}
Optimization Iteration: 4
Running with params: {'burn': 40, 'chains': 6, 'n_samples': 6800, 'tune': 330}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_40_6_6800_330
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Timings: Avg: 65.994, Max: 76.1, Min: 23.509999999999998
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 65.994, Max: 76.1, Min: 23.509999999999998
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 65.994
Score: 65.994
Best-score: 39.55733333333333
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 100, 'tune': 3000}
Optimization Iteration: 5
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_10_3_500_310
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.461333333333336, Max: 37.4, Min: 23.369999999999997
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 34.461333333333336, Max: 37.4, Min: 23.369999999999997
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.461333333333336
Score: 34.461333333333336
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 6
Running with params: {'burn': 1170, 'chains': 1, 'n_samples': 200, 'tune': 1780}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_1170_1_200_1780
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Timings: Avg: 33.94233333333333, Max: 37.370000000000005, Min: 23.37
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: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 7
Running with params: {'burn': 40, 'chains': 5, 'n_samples': 5800, 'tune': 770}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_40_5_5800_770
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Timings: Avg: 56.010000000000005, Max: 63.650000000000006, Min: 23.22
Passed tests : 29
Failed tests : 1
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 29 values out of 30
Overall-timings: Avg: 56.010000000000005, Max: 63.650000000000006, Min: 23.22
Variance (4.333342374871281e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 56.010000000000005
Score: 56.010000000000005
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 8
Running with params: {'burn': 1320, 'chains': 6, 'n_samples': 2400, 'tune': 150}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_1320_6_2400_150
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Timings: Avg: 43.85933333333333, Max: 49.67, 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: 43.85933333333333, Max: 49.67, Min: 23.26
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 43.85933333333333
Score: 43.85933333333333
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 9
Running with params: {'burn': 250, 'chains': 4, 'n_samples': 2400, 'tune': 2500}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_250_4_2400_2500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 47.009, Max: 59.26, Min: 23.28
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 47.009, Max: 59.26, Min: 23.28
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 47.009
Score: 47.009
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 10
Running with params: {'burn': 580, '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_1598055846/assert_73167658_580_2_100_190
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Timings: Avg: 33.81, Max: 37.08, Min: 23.13
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: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 11
Running with params: {'burn': 1040, 'chains': None, 'n_samples': 300, 'tune': 240}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_1040_None_300_240
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Timings: Avg: 33.711999999999996, Max: 36.94, Min: 23.09
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: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 12
Running with params: {'burn': 90, 'chains': 5, 'n_samples': 200, 'tune': 1560}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_90_5_200_1560
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Timings: Avg: 38.82533333333333, Max: 44.92, Min: 23.41
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: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 13
Running with params: {'burn': 900, 'chains': 3, 'n_samples': 1700, 'tune': 1000}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_900_3_1700_1000
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Timings: Avg: 37.24333333333333, Max: 41.400000000000006, Min: 23.240000000000002
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 37.24333333333333, Max: 41.400000000000006, Min: 23.240000000000002
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 37.24333333333333
Score: 37.24333333333333
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 14
Running with params: {'burn': 50, 'chains': 6, 'n_samples': 2400, 'tune': 800}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_50_6_2400_800
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Timings: Avg: 46.17233333333333, Max: 51.5, Min: 22.93
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 46.17233333333333, Max: 51.5, Min: 22.93
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 46.17233333333333
Score: 46.17233333333333
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 15
Running with params: {'burn': 30, 'chains': 5, 'n_samples': 2600, 'tune': 2600}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_30_5_2600_2600
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Timings: Avg: 51.63966666666666, Max: 60.580000000000005, Min: 23.5
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
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Evaluating 28 values out of 30
Overall-timings: Avg: 51.63966666666666, Max: 60.580000000000005, Min: 23.5
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 51.63966666666666
Score: 51.63966666666666
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 16
Running with params: {'burn': 30, 'chains': 1, 'n_samples': 500, 'tune': 1500}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_30_1_500_1500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.50033333333334, Max: 38.339999999999996, Min: 23.07
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: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 17
Running with params: {'burn': 70, 'chains': 3, 'n_samples': 4200, 'tune': 1220}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_70_3_4200_1220
Launching 30 jobs, 30 in parallel
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Timings: Avg: 44.13700000000001, Max: 48.85, Min: 23.34
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 44.13700000000001, Max: 48.85, Min: 23.34
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 44.13700000000001
Score: 44.13700000000001
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 18
Running with params: {'burn': 580, 'chains': 4, 'n_samples': 2400, 'tune': 570}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_580_4_2400_570
Launching 30 jobs, 30 in parallel
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Timings: Avg: 40.230000000000004, Max: 45.230000000000004, Min: 23.4
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
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Evaluating 28 values out of 30
Overall-timings: Avg: 40.230000000000004, Max: 45.230000000000004, Min: 23.4
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 40.230000000000004
Score: 40.230000000000004
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 19
Running with params: {'burn': 370, 'chains': None, 'n_samples': 2600, 'tune': 870}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_370_None_2600_870
Launching 30 jobs, 30 in parallel
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Timings: Avg: 41.18600000000001, Max: 46.519999999999996, Min: 23.08
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 41.18600000000001, Max: 46.519999999999996, Min: 23.08
Variance (0.0) too small, using delta distribution
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All-Passed: True
Probabilty of failure: 0.0
Runtime: 41.18600000000001
Score: 41.18600000000001
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 20
Running with params: {'burn': 150, 'chains': 4, 'n_samples': 7200, 'tune': 2690}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_150_4_7200_2690
Launching 30 jobs, 30 in parallel
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Timings: Avg: 62.00533333333333, Max: 71.73, Min: 23.46
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 62.00533333333333, Max: 71.73, Min: 23.46
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 62.00533333333333
Score: 62.00533333333333
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 21
Running with params: {'burn': 1970, 'chains': 3, 'n_samples': 1100, 'tune': 110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_1970_3_1100_110
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.402, Max: 38.33, Min: 23.61
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: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 22
Running with params: {'burn': 20, 'chains': 3, 'n_samples': 1100, 'tune': 500}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_20_3_1100_500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.43066666666666, Max: 40.480000000000004, Min: 23.35
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 36.43066666666666, Max: 40.480000000000004, Min: 23.35
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.43066666666666
Score: 36.43066666666666
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Upto iteration 50: {'burn': 10.0, 'chains': 2, 'n_samples': 500.0, 'tune': 310.0}
Optimization Iteration: 23
Running with params: {'burn': 20, 'chains': 3, 'n_samples': 600, 'tune': 490}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_20_3_600_490
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.17566666666667, Max: 40.25, Min: 23.44
Passed tests : 26
Failed tests : 4
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 26 values out of 30
Overall-timings: Avg: 35.17566666666667, Max: 40.25, Min: 23.44
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.17566666666667
Score: 35.17566666666667
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 24
Running with params: {'burn': 10, 'chains': 3, 'n_samples': 600, 'tune': 4610}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_10_3_600_4610
Launching 30 jobs, 30 in parallel
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Timings: Avg: 43.879999999999995, Max: 49.14, Min: 23.16
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 43.879999999999995, Max: 49.14, Min: 23.16
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 43.879999999999995
Score: 43.879999999999995
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 25
Running with params: {'burn': 20, 'chains': 3, 'n_samples': 600, 'tune': 310}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_20_3_600_310
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.783, Max: 38.33, Min: 23.259999999999998
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 34.783, Max: 38.33, Min: 23.259999999999998
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.783
Score: 34.783
Best-score: 34.461333333333336
Best-param: {'burn': 10, 'chains': 3, 'n_samples': 500, 'tune': 310}
Optimization Iteration: 26
Running with params: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_20_3_400_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.99633333333334, Max: 37.69, Min: 23.490000000000002
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 33.99633333333334, Max: 37.69, Min: 23.490000000000002
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.99633333333334
Score: 33.99633333333334
Best-score: 33.99633333333334
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 100}
Optimization Iteration: 27
Running with params: {'burn': 10, 'chains': None, 'n_samples': 400, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_10_None_400_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.516666666666666, Max: 38.77, Min: 23.39
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 34.516666666666666, Max: 38.77, Min: 23.39
Variance (3.009265538105056e-36) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.516666666666666
Score: 34.516666666666666
Best-score: 33.99633333333334
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 100}
Optimization Iteration: 28
Running with params: {'burn': 100, 'chains': 2, 'n_samples': 900, 'tune': 130}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_100_2_900_130
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.22566666666667, Max: 38.65, Min: 23.63
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 34.22566666666667, Max: 38.65, Min: 23.63
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.22566666666667
Score: 34.22566666666667
Best-score: 33.99633333333334
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 100}
Optimization Iteration: 29
Running with params: {'burn': 130, 'chains': 2, 'n_samples': 900, 'tune': 130}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_130_2_900_130
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.044, Max: 39.12, Min: 23.25
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 34.044, Max: 39.12, Min: 23.25
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.044
Score: 34.044
Best-score: 33.99633333333334
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 100}
Optimization Iteration: 30
Running with params: {'burn': 190, '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_1598055846/assert_73167658_190_2_100_190
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.40833333333333, Max: 37.66, Min: 23.41
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: 33.99633333333334
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 100}
Optimization Iteration: 31
Running with params: {'burn': 260, 'chains': 2, 'n_samples': 300, 'tune': 160}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_260_2_300_160
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.916333333333334, Max: 37.6, Min: 23.48
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: 33.99633333333334
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 100}
Optimization Iteration: 32
Running with params: {'burn': 110, 'chains': 2, 'n_samples': 1500, 'tune': 110}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_110_2_1500_110
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Timings: Avg: 35.26466666666666, Max: 39.58, Min: 23.42
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 35.26466666666666, Max: 39.58, Min: 23.42
Variance (0.0) too small, using delta distribution
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All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.26466666666666
Score: 35.26466666666666
Best-score: 33.99633333333334
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 100}
Optimization Iteration: 33
Running with params: {'burn': 60, 'chains': 1, 'n_samples': 800, 'tune': 240}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_60_1_800_240
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.751333333333335, Max: 37.53, Min: 23.279999999999998
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: 33.99633333333334
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 100}
Optimization Iteration: 34
Running with params: {'burn': 150, 'chains': 2, 'n_samples': 300, 'tune': 4510}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_150_2_300_4510
Launching 30 jobs, 30 in parallel
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Timings: Avg: 39.61633333333334, Max: 49.8, Min: 23.65
Passed tests : 28
Failed tests : 2
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 28 values out of 30
Overall-timings: Avg: 39.61633333333334, Max: 49.8, Min: 23.65
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 39.61633333333334
Score: 39.61633333333334
Best-score: 33.99633333333334
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 100}
Optimization Iteration: 35
Running with params: {'burn': 10, 'chains': 6, 'n_samples': 100, 'tune': 410}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_10_6_100_410
Launching 30 jobs, 30 in parallel
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Timings: Avg: 38.504, Max: 63.91, Min: 23.32
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: 33.99633333333334
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 100}
Optimization Iteration: 36
Running with params: {'burn': 20, 'chains': 2, 'n_samples': 9800, 'tune': 220}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_20_2_9800_220
Launching 30 jobs, 30 in parallel
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Timings: Avg: 47.76666666666667, Max: 53.55, Min: 23.939999999999998
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 47.76666666666667, Max: 53.55, Min: 23.939999999999998
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 47.76666666666667
Score: 47.76666666666667
Best-score: 33.99633333333334
Best-param: {'burn': 20, 'chains': 3, 'n_samples': 400, 'tune': 100}
Optimization Iteration: 37
Running with params: {'burn': 350, 'chains': 1, 'n_samples': 1300, 'tune': 140}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_350_1_1300_140
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.698, Max: 37.61, Min: 23.340000000000003
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 33.698, Max: 37.61, Min: 23.340000000000003
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.698
Score: 33.698
Best-score: 33.698
Best-param: {'burn': 350, 'chains': 1, 'n_samples': 1300, 'tune': 140}
Optimization Iteration: 38
Running with params: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_330_1_1300_330
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.528, Max: 38.26, Min: 23.36
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 33.528, Max: 38.26, Min: 23.36
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.528
Score: 33.528
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 39
Running with params: {'burn': 380, 'chains': 1, 'n_samples': 1600, 'tune': 640}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_380_1_1600_640
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.912333333333336, Max: 37.92, Min: 23.400000000000002
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 33.912333333333336, Max: 37.92, Min: 23.400000000000002
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.912333333333336
Score: 33.912333333333336
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 40
Running with params: {'burn': 1510, 'chains': 1, 'n_samples': 4500, 'tune': 300}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_1510_1_4500_300
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.79633333333333, Max: 40.620000000000005, Min: 23.220000000000002
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 35.79633333333333, Max: 40.620000000000005, Min: 23.220000000000002
Variance (1.2037062152420224e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.79633333333333
Score: 35.79633333333333
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 41
Running with params: {'burn': 660, 'chains': 1, 'n_samples': 1200, 'tune': 380}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_660_1_1200_380
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.70933333333333, Max: 38.34, Min: 23.349999999999998
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 33.70933333333333, Max: 38.34, Min: 23.349999999999998
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.70933333333333
Score: 33.70933333333333
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 42
Running with params: {'burn': 800, 'chains': 1, 'n_samples': 3600, 'tune': 270}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_800_1_3600_270
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.87, Max: 38.34, Min: 23.42
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 34.87, Max: 38.34, Min: 23.42
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.87
Score: 34.87
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 43
Running with params: {'burn': 400, 'chains': 1, 'n_samples': 1300, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_400_1_1300_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.84133333333333, Max: 35.85, Min: 23.77
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 33.84133333333333, Max: 35.85, Min: 23.77
Variance (3.009265538105056e-36) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 33.84133333333333
Score: 33.84133333333333
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 44
Running with params: {'burn': 270, 'chains': 1, 'n_samples': 2000, 'tune': 160}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_270_1_2000_160
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.13666666666667, Max: 40.19, Min: 23.45
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 34.13666666666667, Max: 40.19, Min: 23.45
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 34.13666666666667
Score: 34.13666666666667
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 45
Running with params: {'burn': 1570, 'chains': 5, 'n_samples': 3300, 'tune': 3490}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_1570_5_3300_3490
Launching 30 jobs, 30 in parallel
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Timings: Avg: 56.44133333333334, Max: 65.99, Min: 23.62
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 56.44133333333334, Max: 65.99, Min: 23.62
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 56.44133333333334
Score: 56.44133333333334
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Upto iteration 100: {'burn': 330.0, 'chains': 0, 'n_samples': 1300.0, 'tune': 330.0}
Optimization Iteration: 46
Running with params: {'burn': 210, 'chains': 1, 'n_samples': 200, 'tune': 2030}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_210_1_200_2030
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.316, Max: 38.32, Min: 23.05
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: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 47
Running with params: {'burn': 480, 'chains': 6, 'n_samples': 1900, 'tune': 380}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_480_6_1900_380
Launching 30 jobs, 30 in parallel
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Timings: Avg: 41.09966666666666, Max: 48.11, Min: 23.13
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 41.09966666666666, Max: 48.11, Min: 23.13
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 41.09966666666666
Score: 41.09966666666666
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 48
Running with params: {'burn': 290, 'chains': 4, 'n_samples': 700, 'tune': 1190}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_290_4_700_1190
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Timings: Avg: 38.35666666666666, Max: 44.46, Min: 23.64
Passed tests : 0
Failed tests : 30
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Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 49
Running with params: {'burn': 990, 'chains': 1, 'n_samples': 9500, 'tune': 480}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_990_1_9500_480
Launching 30 jobs, 30 in parallel
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Timings: Avg: 39.29333333333334, Max: 46.17, Min: 23.47
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 39.29333333333334, Max: 46.17, Min: 23.47
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 39.29333333333334
Score: 39.29333333333334
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 50
Running with params: {'burn': 720, 'chains': None, 'n_samples': 6200, 'tune': 270}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_720_None_6200_270
Launching 30 jobs, 30 in parallel
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Timings: Avg: 50.455333333333336, Max: 58.699999999999996, Min: 23.490000000000002
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 50.455333333333336, Max: 58.699999999999996, Min: 23.490000000000002
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 50.455333333333336
Score: 50.455333333333336
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 51
Running with params: {'burn': 70, 'chains': 5, 'n_samples': 3100, 'tune': 140}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_70_5_3100_140
Launching 30 jobs, 30 in parallel
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Timings: Avg: 43.39266666666667, Max: 52.46, Min: 23.45
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 43.39266666666667, Max: 52.46, Min: 23.45
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 43.39266666666667
Score: 43.39266666666667
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 52
Running with params: {'burn': 200, 'chains': 1, 'n_samples': 4800, 'tune': 720}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_200_1_4800_720
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.091, Max: 39.51, Min: 23.67
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 36.091, Max: 39.51, Min: 23.67
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.091
Score: 36.091
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 53
Running with params: {'burn': 510, 'chains': 4, 'n_samples': 7900, 'tune': 580}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_510_4_7900_580
Launching 30 jobs, 30 in parallel
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Timings: Avg: 57.30233333333333, Max: 66.14, Min: 23.490000000000002
Passed tests : 26
Failed tests : 4
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 26 values out of 30
Overall-timings: Avg: 57.30233333333333, Max: 66.14, Min: 23.490000000000002
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 57.30233333333333
Score: 57.30233333333333
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 54
Running with params: {'burn': 320, 'chains': 1, 'n_samples': 200, 'tune': 950}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_320_1_200_950
Launching 30 jobs, 30 in parallel
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Timings: Avg: 34.431666666666665, Max: 36.28, Min: 23.48
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: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 55
Running with params: {'burn': 1190, 'chains': 6, 'n_samples': 2000, 'tune': 190}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_1190_6_2000_190
Launching 30 jobs, 30 in parallel
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Timings: Avg: 41.980000000000004, Max: 50.21, Min: 23.400000000000002
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 41.980000000000004, Max: 50.21, Min: 23.400000000000002
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 41.980000000000004
Score: 41.980000000000004
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 56
Running with params: {'burn': 80, 'chains': None, 'n_samples': 400, 'tune': 340}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_80_None_400_340
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.407000000000004, Max: 39.24, Min: 23.240000000000002
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: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 57
Running with params: {'burn': 1990, 'chains': 5, 'n_samples': 1500, 'tune': 430}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_1990_5_1500_430
Launching 30 jobs, 30 in parallel
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Timings: Avg: 40.657000000000004, Max: 46.480000000000004, Min: 23.42
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: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 58
Running with params: {'burn': 180, 'chains': 1, 'n_samples': 5500, 'tune': 120}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_180_1_5500_120
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.76133333333333, Max: 40.94, Min: 23.37
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 36.76133333333333, Max: 40.94, Min: 23.37
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.76133333333333
Score: 36.76133333333333
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 59
Running with params: {'burn': 460, 'chains': 4, 'n_samples': 2800, 'tune': 170}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_460_4_2800_170
Launching 30 jobs, 30 in parallel
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Timings: Avg: 41.23433333333333, Max: 45.81, Min: 23.6
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 41.23433333333333, Max: 45.81, Min: 23.6
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 41.23433333333333
Score: 41.23433333333333
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 60
Running with params: {'burn': 40, 'chains': 1, 'n_samples': 500, 'tune': 230}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_40_1_500_230
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.71666666666667, Max: 37.629999999999995, Min: 23.509999999999998
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: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 61
Running with params: {'burn': 230, 'chains': None, 'n_samples': 1000, 'tune': 280}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_230_None_1000_280
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.953, Max: 40.64, Min: 23.47
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 36.953, Max: 40.64, Min: 23.47
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.953
Score: 36.953
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 62
Running with params: {'burn': 850, 'chains': 6, 'n_samples': 1300, 'tune': 580}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_850_6_1300_580
Launching 30 jobs, 30 in parallel
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Timings: Avg: 41.63066666666667, Max: 47.63, Min: 23.18
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 41.63066666666667, Max: 47.63, Min: 23.18
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 41.63066666666667
Score: 41.63066666666667
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 63
Running with params: {'burn': 590, 'chains': 1, 'n_samples': 700, 'tune': 1250}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_590_1_700_1250
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.006, Max: 39.17, Min: 23.57
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 35.006, Max: 39.17, Min: 23.57
Variance (1.925929944387236e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.006
Score: 35.006
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 64
Running with params: {'burn': 120, 'chains': 5, 'n_samples': 4000, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_120_5_4000_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 47.145999999999994, Max: 58.46, Min: 23.720000000000002
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 47.145999999999994, Max: 58.46, Min: 23.720000000000002
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 47.145999999999994
Score: 47.145999999999994
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 65
Running with params: {'burn': 330, 'chains': 1, 'n_samples': 2200, 'tune': 350}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_330_1_2200_350
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.683333333333344, Max: 47.190000000000005, Min: 23.47
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 35.683333333333344, Max: 47.190000000000005, Min: 23.47
Variance (4.81482486096809e-35) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.683333333333344
Score: 35.683333333333344
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 66
Running with params: {'burn': 160, 'chains': 1, 'n_samples': 1200, 'tune': 820}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_160_1_1200_820
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.41266666666666, Max: 49.629999999999995, Min: 23.52
Passed tests : 27
Failed tests : 3
Converged: True
Convergence score: 0.0
updating...
updating...
Evaluating 27 values out of 30
Overall-timings: Avg: 36.41266666666666, Max: 49.629999999999995, Min: 23.52
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.41266666666666
Score: 36.41266666666666
Best-score: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 67
Running with params: {'burn': 1420, 'chains': 1, 'n_samples': 900, 'tune': 420}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_1420_1_900_420
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.519999999999996, Max: 40.22, Min: 23.16
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: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Optimization Iteration: 68
Running with params: {'burn': 660, 'chains': 1, 'n_samples': 300, 'tune': 490}
Logdir: /mnt/batch/tasks/workitems/optpymc3seed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597945912_pymc3/run_1598055846/assert_73167658_660_1_300_490
Launching 30 jobs, 30 in parallel
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Timings: Avg: 33.55266666666667, Max: 37.67, Min: 23.31
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: 33.528
Best-param: {'burn': 330, 'chains': 1, 'n_samples': 1300, 'tune': 330}
Upto iteration 150: {'burn': 330.0, 'chains': 0, 'n_samples': 1300.0, 'tune': 330.0}
Breaking...
{'burn': 330.0, 'chains': 0, 'n_samples': 1300.0, 'tune': 330.0}
Best score: 33.528
Repeated params: 0
Trials: 69
Best param {'burn': 330.0, 'chains': 0, 'n_samples': 1300.0, 'tune': 330.0}
Reduction: 47.614137058216926%
Speedup: 1.9089119541875448x
Optimizer time: 18892.700014829636
