Repo: pymc3
Filename: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/projects/pymc3/pymc3/tests/test_step.py
ClassName: TestStepMethods
Testname: test_step_continuous
Params: draws,556,16,ParamType.ITER,0
tune,557,21,ParamType.ITER,8000
chains,558,23,ParamType.CHAINS,1
Assertion:  assert (np.abs(s[i]-value[i]) < bound[i])
Original runtime: 40.751999999999995
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'draws': 0, 'tune': 8000, 'chains': 1}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_0_8000_1
Launching 30 jobs, 30 in parallel
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Timings: Avg: 36.424, Max: 51.09, Min: 33.300000000000004
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 36.424, Max: 51.09, Min: 33.300000000000004
Variance (2.7083389842945504e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (2.7083389842945504e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 36.424
Score: 36.424
Best-score: 36.424
Best-param: {'draws': 0, 'tune': 8000, 'chains': 1}
>>Setting original runtime to 36.424
Optimization Iteration: 1
Running with params: {'chains': 5, 'draws': 510, 'tune': 500}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_510_500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 31.75466666666666, Max: 38.160000000000004, Min: 26.93
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 31.75466666666666, Max: 38.160000000000004, Min: 26.93
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (2.7083389842945504e-35) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.0833355937178202e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 31.75466666666666
Score: 31.75466666666666
Best-score: 31.75466666666666
Best-param: {'chains': 5, 'draws': 510, 'tune': 500}
Optimization Iteration: 2
Running with params: {'chains': 4, 'draws': 0, 'tune': 3700}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_4_0_3700
Launching 30 jobs, 30 in parallel
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Timings: Avg: 73.73166666666665, Max: 89.37, Min: 52.230000000000004
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 73.73166666666665, Max: 89.37, Min: 52.230000000000004
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.52316384526264e-37) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.52316384526264e-37) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 73.73166666666665
Score: 73.73166666666665
Best-score: 31.75466666666666
Best-param: {'chains': 5, 'draws': 510, 'tune': 500}
Optimization Iteration: 3
Running with params: {'chains': 1, 'draws': 0, 'tune': 500}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_1_0_500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 13.44, Max: 13.610000000000001, Min: 13.21
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: 31.75466666666666
Best-param: {'chains': 5, 'draws': 510, 'tune': 500}
Optimization Iteration: 4
Running with params: {'chains': 5, 'draws': 20, 'tune': 2800}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_20_2800
Launching 30 jobs, 30 in parallel
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Timings: Avg: 59.64033333333334, Max: 84.7, Min: 48.980000000000004
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 59.64033333333334, Max: 84.7, Min: 48.980000000000004
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (2.7083389842945504e-35) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (2.7083389842945504e-35) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 59.64033333333334
Score: 59.64033333333334
Best-score: 31.75466666666666
Best-param: {'chains': 5, 'draws': 510, 'tune': 500}
Optimization Iteration: 5
Running with params: {'chains': 2, 'draws': 440, 'tune': 600}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_2_440_600
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.762, Max: 15.139999999999999, Min: 14.41
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: 31.75466666666666
Best-param: {'chains': 5, 'draws': 510, 'tune': 500}
Optimization Iteration: 6
Running with params: {'chains': 1, 'draws': 1680, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_1_1680_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.675333333333334, Max: 15.08, Min: 14.16
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: 31.75466666666666
Best-param: {'chains': 5, 'draws': 510, 'tune': 500}
Optimization Iteration: 7
Running with params: {'chains': 2, 'draws': 0, 'tune': 3000}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_2_0_3000
Launching 30 jobs, 30 in parallel
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Timings: Avg: 35.10933333333333, Max: 43.24, Min: 29.61
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 35.10933333333333, Max: 43.24, Min: 29.61
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 35.10933333333333
Score: 35.10933333333333
Best-score: 31.75466666666666
Best-param: {'chains': 5, 'draws': 510, 'tune': 500}
Optimization Iteration: 8
Running with params: {'chains': 5, 'draws': 60, 'tune': 800}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_60_800
Launching 30 jobs, 30 in parallel
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Timings: Avg: 27.025333333333332, Max: 32.7, Min: 24.459999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 27.025333333333332, Max: 32.7, Min: 24.459999999999997
Variance (2.7083389842945504e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (2.7083389842945504e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 27.025333333333332
Score: 27.025333333333332
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 9
Running with params: {'chains': 5, 'draws': 120, 'tune': 5000}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_120_5000
Launching 30 jobs, 30 in parallel
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Timings: Avg: 122.70700000000001, Max: 145.15, Min: 98.64999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 122.70700000000001, Max: 145.15, Min: 98.64999999999999
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (2.7733391199176196e-32) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 122.70700000000001
Score: 122.70700000000001
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 10
Running with params: {'chains': 1, 'draws': 0, 'tune': 700}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_1_0_700
Launching 30 jobs, 30 in parallel
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Timings: Avg: 14.754, Max: 14.98, Min: 14.17
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 11
Running with params: {'chains': 2, 'draws': 20, 'tune': 1600}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_2_20_1600
Launching 30 jobs, 30 in parallel
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Timings: Avg: 16.846333333333334, Max: 17.41, Min: 16.09
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 12
Running with params: {'chains': 1, 'draws': 4280, 'tune': 1400}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_1_4280_1400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 17.661, Max: 18.94, Min: 16.61
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 13
Running with params: {'chains': 3, 'draws': 40, 'tune': 300}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_3_40_300
Launching 30 jobs, 30 in parallel
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Timings: Avg: 15.128999999999998, Max: 15.270000000000001, Min: 14.58
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 14
Running with params: {'chains': 5, 'draws': 30, 'tune': 600}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_30_600
Launching 30 jobs, 30 in parallel
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Timings: Avg: 18.65666666666667, Max: 20.15, Min: 17.71
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 15
Running with params: {'chains': 2, 'draws': 20, 'tune': 4400}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_2_20_4400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 48.842000000000006, Max: 58.3, Min: 38.02
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 48.842000000000006, Max: 58.3, Min: 38.02
Variance (0.0) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (4.333342374871281e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (4.333342374871281e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 48.842000000000006
Score: 48.842000000000006
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 16
Running with params: {'chains': 1, 'draws': 590, 'tune': 1500}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_1_590_1500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 16.017666666666667, Max: 16.2, Min: 15.55
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 17
Running with params: {'chains': 3, 'draws': 20, 'tune': 2100}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_3_20_2100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 23.991, Max: 27.990000000000002, Min: 21.7
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 18
Running with params: {'chains': 1, 'draws': 10, 'tune': 800}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_1_10_800
Launching 30 jobs, 30 in parallel
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Timings: Avg: 15.563333333333334, Max: 15.780000000000001, Min: 14.67
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 19
Running with params: {'chains': 1, 'draws': 0, 'tune': 2800}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_1_0_2800
Launching 30 jobs, 30 in parallel
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Timings: Avg: 18.544666666666664, Max: 19.73, Min: 17.49
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 20
Running with params: {'chains': 4, 'draws': 2350, 'tune': 900}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_4_2350_900
Launching 30 jobs, 30 in parallel
Iter 0...
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Timings: Avg: 66.24433333333333, Max: 80.91000000000001, Min: 47.64
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 66.24433333333333, Max: 80.91000000000001, Min: 47.64
Variance (1.0833355937178202e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.333342374871281e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.930380657631324e-32) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.0833355937178202e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.333342374871281e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 66.24433333333333
Score: 66.24433333333333
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 21
Running with params: {'chains': 6, 'draws': 160, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_6_160_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 16.095666666666666, Max: 16.46, Min: 15.719999999999999
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 22
Running with params: {'chains': 5, 'draws': 340, 'tune': 300}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_340_300
Launching 30 jobs, 30 in parallel
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Timings: Avg: 17.201999999999998, Max: 17.58, Min: 16.47
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 23
Running with params: {'chains': 5, 'draws': 1140, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_1140_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 18.798999999999996, Max: 20.05, Min: 17.69
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 24
Running with params: {'chains': 5, 'draws': 80, 'tune': 400}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_80_400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 18.322666666666667, Max: 19.02, Min: 17.3
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Upto iteration 50: {'chains': 4, 'draws': 60.0, 'tune': 800.0}
Optimization Iteration: 25
Running with params: {'chains': 6, 'draws': 240, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_6_240_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 19.322, Max: 20.79, Min: 18.509999999999998
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 26
Running with params: {'chains': 5, 'draws': 70, 'tune': 6800}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_70_6800
Launching 30 jobs, 30 in parallel
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Timings: Avg: 162.75533333333337, Max: 194.09, Min: 103.37
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 162.75533333333337, Max: 194.09, Min: 103.37
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 162.75533333333337
Score: 162.75533333333337
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 27
Running with params: {'chains': 5, 'draws': 5950, 'tune': 1100}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_5950_1100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 42.82766666666666, Max: 50.489999999999995, Min: 32.95
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 28
Running with params: {'chains': 4, 'draws': 980, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_4_980_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 18.380666666666663, Max: 19.68, Min: 17.650000000000002
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 29
Running with params: {'chains': 5, 'draws': 10, 'tune': 400}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_10_400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 16.974333333333334, Max: 17.37, Min: 16.54
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 30
Running with params: {'chains': 6, 'draws': 190, 'tune': 1000}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_6_190_1000
Launching 30 jobs, 30 in parallel
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Timings: Avg: 39.98433333333333, Max: 53.150000000000006, Min: 35.12
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 39.98433333333333, Max: 53.150000000000006, Min: 35.12
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 39.98433333333333
Score: 39.98433333333333
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 31
Running with params: {'chains': 3, 'draws': 710, 'tune': 300}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_3_710_300
Launching 30 jobs, 30 in parallel
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Timings: Avg: 17.610666666666663, Max: 18.94, Min: 16.759999999999998
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 32
Running with params: {'chains': 4, 'draws': 3190, 'tune': 500}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_4_3190_500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.380666666666666, Max: 26.639999999999997, Min: 23.189999999999998
Passed tests : 0
Failed tests : 30
Half of samples failed, exiting...
All-Passed: False
Probabilty of failure: 1.0
Runtime: 10000.0
Score: 3.4028234663852886e+38
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 33
Running with params: {'chains': 5, 'draws': 10, 'tune': 2000}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_10_2000
Launching 30 jobs, 30 in parallel
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Timings: Avg: 51.57933333333334, Max: 66.81, Min: 43.14
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 51.57933333333334, Max: 66.81, Min: 43.14
Variance (0.0) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 51.57933333333334
Score: 51.57933333333334
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 34
Running with params: {'chains': 5, 'draws': 50, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_50_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 17.083333333333336, Max: 17.560000000000002, Min: 16.259999999999998
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 35
Running with params: {'chains': 5, 'draws': 290, 'tune': 400}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_290_400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 28.185999999999993, Max: 33.75, Min: 25.939999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 28.185999999999993, Max: 33.75, Min: 25.939999999999998
Variance (2.7083389842945504e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.1093356479670479e-31) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (2.7083389842945504e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (4.81482486096809e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 28.185999999999993
Score: 28.185999999999993
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 36
Running with params: {'chains': 5, 'draws': 340, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_340_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 18.40766666666667, Max: 19.54, Min: 17.45
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 37
Running with params: {'chains': 3, 'draws': 110, 'tune': 400}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_3_110_400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 17.802000000000003, Max: 18.44, Min: 17.55
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 38
Running with params: {'chains': 6, 'draws': 0, 'tune': 1200}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_6_0_1200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 44.507333333333335, Max: 53.78, Min: 34.82
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 44.507333333333335, Max: 53.78, Min: 34.82
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (2.7083389842945504e-35) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.7333369499485123e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (6.770847460736376e-36) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (4.333342374871281e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 44.507333333333335
Score: 44.507333333333335
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 39
Running with params: {'chains': 2, 'draws': 10, 'tune': 500}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_2_10_500
Launching 30 jobs, 30 in parallel
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Timings: Avg: 17.949333333333335, Max: 18.07, Min: 16.990000000000002
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 40
Running with params: {'chains': 5, 'draws': 1720, 'tune': 700}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_1720_700
Launching 30 jobs, 30 in parallel
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Timings: Avg: 24.00566666666667, Max: 27.19, Min: 22.89
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 41
Running with params: {'chains': 4, 'draws': 0, 'tune': 100}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_4_0_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 17.796666666666667, Max: 18.14, Min: 17.33
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 42
Running with params: {'chains': 5, 'draws': 7320, 'tune': 2000}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_7320_2000
Launching 30 jobs, 30 in parallel
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Timings: Avg: 48.30533333333333, Max: 62.260000000000005, Min: 39.5
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 43
Running with params: {'chains': 2, 'draws': 50, 'tune': 200}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_2_50_200
Launching 30 jobs, 30 in parallel
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Timings: Avg: 18.052000000000003, Max: 18.61, Min: 16.86
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 44
Running with params: {'chains': 5, 'draws': 270, 'tune': 300}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_5_270_300
Launching 30 jobs, 30 in parallel
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Timings: Avg: 19.47533333333333, Max: 20.15, Min: 18.41
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 45
Running with params: {'chains': 3, 'draws': 0, 'tune': 3400}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_3_0_3400
Launching 30 jobs, 30 in parallel
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Timings: Avg: 55.121, Max: 69.24000000000001, Min: 44.449999999999996
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 55.121, Max: 69.24000000000001, Min: 44.449999999999996
Variance (0.0) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (6.933347799794049e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.52316384526264e-37) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.1093356479670479e-31) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (3.0814879110195774e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (6.933347799794049e-33) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.52316384526264e-37) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 55.121
Score: 55.121
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 46
Running with params: {'chains': 5, 'draws': 30, 'tune': 600}
Optimization Iteration: 47
Running with params: {'chains': 2, 'draws': 140, 'tune': 1300}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_2_140_1300
Launching 30 jobs, 30 in parallel
Iter 0...
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Iter 26...
Timings: Avg: 20.397000000000002, Max: 20.99, Min: 19.5
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 48
Running with params: {'chains': 1, 'draws': 520, 'tune': 1700}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_1_520_1700
Launching 30 jobs, 30 in parallel
Iter 0...
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Timings: Avg: 19.13, Max: 19.57, Min: 18.81
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: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Optimization Iteration: 49
Running with params: {'chains': 6, 'draws': 920, 'tune': 800}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pymc3/wd/borntobeflaky/tool/logs/optim_1597896693_pymc3/run_1597911420/assert_52297641_6_920_800
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
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Iter 6...
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Timings: Avg: 57.16566666666666, Max: 71.74000000000001, Min: 45.739999999999995
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 57.16566666666666, Max: 71.74000000000001, Min: 45.739999999999995
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.925929944387236e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (1.232595164407831e-32) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (1.2037062152420224e-35) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (7.703719777548943e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (2.7083389842945504e-35) too small, using delta distribution
Variance (1.0833355937178202e-34) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 57.16566666666666
Score: 57.16566666666666
Best-score: 27.025333333333332
Best-param: {'chains': 5, 'draws': 60, 'tune': 800}
Upto iteration 100: {'chains': 4, 'draws': 60.0, 'tune': 800.0}
Breaking...
{'chains': 4, 'draws': 60.0, 'tune': 800.0}
Best score: 27.025333333333332
Repeated params: 1
Trials: 50
Best param {'chains': 4, 'draws': 60.0, 'tune': 800.0}
Reduction: 25.80349952412329%
Speedup: 1.347772460407519x
Optimizer time: 12457.196180820465
