Repo: gensim
Filename: /mnt/batch/tasks/workitems/opt1/job-1/Task_gensim/wd/borntobeflaky/projects/gensim/gensim/test/test_sklearn_api.py
ClassName: TestLdaWrapper
Testname: testPipeline
Params: num_passes,307,53,ParamType.ITER,100
Assertion: self.assertGreaterEqual(score, 0.40)
Original runtime: 9.051
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'num_passes': 100}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_gensim/wd/borntobeflaky/tool/logs/optim_1597729945_gensim/run_1597729986/assert_99357764_100
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 22...
Iter 21...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 9.086666666666668, Max: 9.43, Min: 8.9
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 9.086666666666668, Max: 9.43, Min: 8.9
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 9.086666666666668
Score: 9.086666666666668
Best-score: 9.086666666666668
Best-param: {'num_passes': 100}
>>Setting original runtime to 9.086666666666668
Optimization Iteration: 1
Running with params: {'num_passes': 11}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_gensim/wd/borntobeflaky/tool/logs/optim_1597729945_gensim/run_1597729986/assert_99357764_11
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 8.757666666666667, Max: 8.99, Min: 8.39
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 8.757666666666667, Max: 8.99, Min: 8.39
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 8.757666666666667
Score: 8.757666666666667
Best-score: 8.757666666666667
Best-param: {'num_passes': 11}
Optimization Iteration: 2
Running with params: {'num_passes': 29}
Higher iteration... returning...
Optimization Iteration: 3
Running with params: {'num_passes': 34}
Higher iteration... returning...
Optimization Iteration: 4
Running with params: {'num_passes': 29}
Higher iteration... returning...
Optimization Iteration: 5
Running with params: {'num_passes': 10}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_gensim/wd/borntobeflaky/tool/logs/optim_1597729945_gensim/run_1597729986/assert_99357764_10
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 9...
Iter 10...
Iter 11...
Iter 8...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 29...
Iter 28...
Timings: Avg: 8.788333333333334, Max: 9.18, Min: 8.52
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 8.788333333333334, Max: 9.18, Min: 8.52
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 8.788333333333334
Score: 8.788333333333334
Best-score: 8.757666666666667
Best-param: {'num_passes': 11}
Optimization Iteration: 6
Running with params: {'num_passes': 2}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_gensim/wd/borntobeflaky/tool/logs/optim_1597729945_gensim/run_1597729986/assert_99357764_2
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 8.755, Max: 8.97, Min: 8.51
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 8.755, Max: 8.97, Min: 8.51
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 8.755
Score: 8.755
Best-score: 8.755
Best-param: {'num_passes': 2}
Optimization Iteration: 7
Running with params: {'num_passes': 15}
Higher iteration... returning...
Optimization Iteration: 8
Running with params: {'num_passes': 2}
Optimization Iteration: 9
Running with params: {'num_passes': 49}
Higher iteration... returning...
Optimization Iteration: 10
Running with params: {'num_passes': 29}
Higher iteration... returning...
Optimization Iteration: 11
Running with params: {'num_passes': 35}
Higher iteration... returning...
Optimization Iteration: 12
Running with params: {'num_passes': 2}
Optimization Iteration: 13
Running with params: {'num_passes': 54}
Higher iteration... returning...
Optimization Iteration: 14
Running with params: {'num_passes': 5}
Higher iteration... returning...
Optimization Iteration: 15
Running with params: {'num_passes': 3}
Higher iteration... returning...
Optimization Iteration: 16
Running with params: {'num_passes': 7}
Higher iteration... returning...
Optimization Iteration: 17
Running with params: {'num_passes': 4}
Higher iteration... returning...
Optimization Iteration: 18
Running with params: {'num_passes': 15}
Higher iteration... returning...
Optimization Iteration: 19
Running with params: {'num_passes': 82}
Higher iteration... returning...
Optimization Iteration: 20
Running with params: {'num_passes': 22}
Higher iteration... returning...
Optimization Iteration: 21
Running with params: {'num_passes': 1}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_gensim/wd/borntobeflaky/tool/logs/optim_1597729945_gensim/run_1597729986/assert_99357764_1
Launching 30 jobs, 30 in parallel
Iter 0...
Iter 1...
Iter 2...
Iter 3...
Iter 4...
Iter 5...
Iter 6...
Iter 7...
Iter 8...
Iter 9...
Iter 10...
Iter 11...
Iter 12...
Iter 13...
Iter 14...
Iter 15...
Iter 16...
Iter 17...
Iter 18...
Iter 19...
Iter 20...
Iter 21...
Iter 22...
Iter 23...
Iter 24...
Iter 25...
Iter 26...
Iter 27...
Iter 28...
Iter 29...
Timings: Avg: 8.651666666666667, Max: 8.82, Min: 8.5
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 8.651666666666667, Max: 8.82, Min: 8.5
Variance (0.0) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 8.651666666666667
Score: 8.651666666666667
Best-score: 8.651666666666667
Best-param: {'num_passes': 1}
Optimization Iteration: 22
Running with params: {'num_passes': 1}
Optimization Iteration: 23
Running with params: {'num_passes': 1}
Optimization Iteration: 24
Running with params: {'num_passes': 1}
Optimization Iteration: 25
Running with params: {'num_passes': 1}
Optimization Iteration: 26
Running with params: {'num_passes': 1}
Optimization Iteration: 27
Running with params: {'num_passes': 2}
Optimization Iteration: 28
Running with params: {'num_passes': 3}
Higher iteration... returning...
Optimization Iteration: 29
Running with params: {'num_passes': 1}
Optimization Iteration: 30
Running with params: {'num_passes': 6}
Higher iteration... returning...
Optimization Iteration: 31
Running with params: {'num_passes': 3}
Higher iteration... returning...
Optimization Iteration: 32
Running with params: {'num_passes': 1}
Optimization Iteration: 33
Running with params: {'num_passes': 2}
Optimization Iteration: 34
Running with params: {'num_passes': 1}
Optimization Iteration: 35
Running with params: {'num_passes': 8}
Higher iteration... returning...
Optimization Iteration: 36
Running with params: {'num_passes': 4}
Higher iteration... returning...
Optimization Iteration: 37
Running with params: {'num_passes': 14}
Higher iteration... returning...
Optimization Iteration: 38
Running with params: {'num_passes': 2}
Optimization Iteration: 39
Running with params: {'num_passes': 1}
Optimization Iteration: 40
Running with params: {'num_passes': 11}
Optimization Iteration: 41
Running with params: {'num_passes': 1}
Optimization Iteration: 42
Running with params: {'num_passes': 2}
Optimization Iteration: 43
Running with params: {'num_passes': 80}
Higher iteration... returning...
Optimization Iteration: 44
Running with params: {'num_passes': 22}
Higher iteration... returning...
Optimization Iteration: 45
Running with params: {'num_passes': 3}
Higher iteration... returning...
Optimization Iteration: 46
Running with params: {'num_passes': 4}
Higher iteration... returning...
Optimization Iteration: 47
Running with params: {'num_passes': 8}
Higher iteration... returning...
Optimization Iteration: 48
Running with params: {'num_passes': 59}
Higher iteration... returning...
Optimization Iteration: 49
Running with params: {'num_passes': 5}
Higher iteration... returning...
Optimization Iteration: 50
Running with params: {'num_passes': 1}
Upto iteration 50: {'num_passes': 1.0}
Optimization Iteration: 51
Running with params: {'num_passes': 2}
Optimization Iteration: 52
Running with params: {'num_passes': 3}
Higher iteration... returning...
Optimization Iteration: 53
Running with params: {'num_passes': 2}
Optimization Iteration: 54
Running with params: {'num_passes': 37}
Higher iteration... returning...
Optimization Iteration: 55
Running with params: {'num_passes': 18}
Higher iteration... returning...
Optimization Iteration: 56
Running with params: {'num_passes': 1}
Optimization Iteration: 57
Running with params: {'num_passes': 1}
Optimization Iteration: 58
Running with params: {'num_passes': 1}
Optimization Iteration: 59
Running with params: {'num_passes': 5}
Higher iteration... returning...
Optimization Iteration: 60
Running with params: {'num_passes': 2}
Optimization Iteration: 61
Running with params: {'num_passes': 11}
Optimization Iteration: 62
Running with params: {'num_passes': 41}
Higher iteration... returning...
Optimization Iteration: 63
Running with params: {'num_passes': 4}
Higher iteration... returning...
Optimization Iteration: 64
Running with params: {'num_passes': 26}
Higher iteration... returning...
Optimization Iteration: 65
Running with params: {'num_passes': 6}
Higher iteration... returning...
Optimization Iteration: 66
Running with params: {'num_passes': 1}
Optimization Iteration: 67
Running with params: {'num_passes': 1}
Optimization Iteration: 68
Running with params: {'num_passes': 1}
Optimization Iteration: 69
Running with params: {'num_passes': 1}
Optimization Iteration: 70
Running with params: {'num_passes': 3}
Higher iteration... returning...
Optimization Iteration: 71
Running with params: {'num_passes': 2}
Optimization Iteration: 72
Running with params: {'num_passes': 1}
Optimization Iteration: 73
Running with params: {'num_passes': 2}
Optimization Iteration: 74
Running with params: {'num_passes': 1}
Optimization Iteration: 75
Running with params: {'num_passes': 1}
Optimization Iteration: 76
Running with params: {'num_passes': 1}
Optimization Iteration: 77
Running with params: {'num_passes': 2}
Optimization Iteration: 78
Running with params: {'num_passes': 3}
Higher iteration... returning...
Optimization Iteration: 79
Running with params: {'num_passes': 1}
Optimization Iteration: 80
Running with params: {'num_passes': 9}
Higher iteration... returning...
Optimization Iteration: 81
Running with params: {'num_passes': 1}
Optimization Iteration: 82
Running with params: {'num_passes': 2}
Optimization Iteration: 83
Running with params: {'num_passes': 13}
Higher iteration... returning...
Optimization Iteration: 84
Running with params: {'num_passes': 1}
Optimization Iteration: 85
Running with params: {'num_passes': 2}
Optimization Iteration: 86
Running with params: {'num_passes': 3}
Higher iteration... returning...
Optimization Iteration: 87
Running with params: {'num_passes': 4}
Higher iteration... returning...
Optimization Iteration: 88
Running with params: {'num_passes': 1}
Optimization Iteration: 89
Running with params: {'num_passes': 62}
Higher iteration... returning...
Optimization Iteration: 90
Running with params: {'num_passes': 98}
Higher iteration... returning...
Optimization Iteration: 91
Running with params: {'num_passes': 6}
Higher iteration... returning...
Optimization Iteration: 92
Running with params: {'num_passes': 2}
Optimization Iteration: 93
Running with params: {'num_passes': 1}
Optimization Iteration: 94
Running with params: {'num_passes': 1}
Optimization Iteration: 95
Running with params: {'num_passes': 5}
Higher iteration... returning...
Optimization Iteration: 96
Running with params: {'num_passes': 2}
Optimization Iteration: 97
Running with params: {'num_passes': 18}
Higher iteration... returning...
Optimization Iteration: 98
Running with params: {'num_passes': 1}
Optimization Iteration: 99
Running with params: {'num_passes': 3}
Higher iteration... returning...
Optimization Iteration: 100
Running with params: {'num_passes': 7}
Higher iteration... returning...
Upto iteration 100: {'num_passes': 1.0}
Breaking...
{'num_passes': 1.0}
Best score: 8.651666666666667
Repeated params: 47
Trials: 101
Best param {'num_passes': 1.0}
Reduction: 4.787234042553196%
Speedup: 1.0502793296089385x
Optimizer time: 46.93377637863159
