Repo: pyro
Filename: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/projects/pyro/tests/integration_tests/test_conjugate_gaussian_models.py
ClassName: GaussianChainTests
Testname: test_elbo_nonreparameterized_N_is_7
Params: param1,133,33,ParamType.ITER,5000
param2,133,39,ParamType.LR,0.001
Assertion: assert_equal(0.0, max_errors[0], prec=0.05)
Original runtime: 71.163
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'param1': 5000, 'param2': 0.001}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_5000_0.001
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Timings: Avg: 70.46833333333333, Max: 73.2, Min: 68.47
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 1.945771363977115
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 70.37733333333333, Max: 73.2, Min: 68.47
Passed tests : 60
Failed tests : 0
Converged: True
Convergence score: 0.7620266377083003
updating...
Evaluating 60 values out of 60
Overall-timings: Avg: 70.37733333333333, Max: 73.2, Min: 68.47
Variance (1.1450255372489737e-34) too small, using delta distribution
Variance (6.060848872839715e-36) too small, using delta distribution
Variance (5.09468655601186e-34) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 70.37733333333333
Score: 70.37733333333333
Best-score: 70.37733333333333
Best-param: {'param1': 5000, 'param2': 0.001}
>>Setting original runtime to 70.37733333333333
Optimization Iteration: 1
Running with params: {'param1': 1300, 'param2': 0.0008671802887131526}
Lower learning rate.. returning... Best: 0.001, Proposed: 0.0008671802887131526
Optimization Iteration: 2
Running with params: {'param1': 2800, 'param2': 0.0023703460690548206}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_2800_0.0023703460690548206
Launching 30 jobs, 30 in parallel
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Timings: Avg: 40.12466666666667, Max: 41.06, Min: 39.29
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.7515422245344523
updating...
Evaluating 30 values out of 30
Overall-timings: Avg: 40.12466666666667, Max: 41.06, Min: 39.29
Variance (2.552860264825789e-35) too small, using delta distribution
Variance (7.460470813218784e-36) too small, using delta distribution
Variance (2.0672651158269034e-33) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 40.12466666666667
Score: 40.12466666666667
Best-score: 40.12466666666667
Best-param: {'param1': 2800, 'param2': 0.0023703460690548206}
Optimization Iteration: 3
Running with params: {'param1': 1000, 'param2': 0.00012415697321752666}
Lower learning rate.. returning... Best: 0.0023703460690548206, Proposed: 0.00012415697321752666
Optimization Iteration: 4
Running with params: {'param1': 4700, 'param2': 0.00021708332540287763}
Higher iteration... returning...
Optimization Iteration: 5
Running with params: {'param1': 100, 'param2': 0.01626703453197145}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_100_0.01626703453197145
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Timings: Avg: 3.6786666666666665, Max: 3.73, Min: 3.62
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: 40.12466666666667
Best-param: {'param1': 2800, 'param2': 0.0023703460690548206}
Optimization Iteration: 6
Running with params: {'param1': 400, 'param2': 0.004191081682678736}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_400_0.004191081682678736
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Timings: Avg: 7.6383333333333345, Max: 7.78, Min: 7.53
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: 40.12466666666667
Best-param: {'param1': 2800, 'param2': 0.0023703460690548206}
Optimization Iteration: 7
Running with params: {'param1': 400, 'param2': 0.018680709927012085}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_400_0.018680709927012085
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Timings: Avg: 7.629, Max: 7.87, Min: 7.42
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: 40.12466666666667
Best-param: {'param1': 2800, 'param2': 0.0023703460690548206}
Optimization Iteration: 8
Running with params: {'param1': 200, 'param2': 0.031070870212616175}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_200_0.031070870212616175
Launching 30 jobs, 30 in parallel
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Timings: Avg: 4.980333333333333, Max: 5.05, Min: 4.890000000000001
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: 40.12466666666667
Best-param: {'param1': 2800, 'param2': 0.0023703460690548206}
Optimization Iteration: 9
Running with params: {'param1': 100, 'param2': 0.0007621747775150881}
Lower learning rate.. returning... Best: 0.0023703460690548206, Proposed: 0.0007621747775150881
Optimization Iteration: 10
Running with params: {'param1': 100, 'param2': 0.00047495209865866853}
Lower learning rate.. returning... Best: 0.0023703460690548206, Proposed: 0.00047495209865866853
Optimization Iteration: 11
Running with params: {'param1': 300, 'param2': 0.0009533920569612898}
Lower learning rate.. returning... Best: 0.0023703460690548206, Proposed: 0.0009533920569612898
Optimization Iteration: 12
Running with params: {'param1': 800, 'param2': 0.00012920101747087797}
Lower learning rate.. returning... Best: 0.0023703460690548206, Proposed: 0.00012920101747087797
Optimization Iteration: 13
Running with params: {'param1': 400, 'param2': 0.00013562270241003341}
Lower learning rate.. returning... Best: 0.0023703460690548206, Proposed: 0.00013562270241003341
Optimization Iteration: 14
Running with params: {'param1': 3400, 'param2': 0.0024232383064963265}
Higher iteration... returning...
Optimization Iteration: 15
Running with params: {'param1': 700, 'param2': 0.01666668892261294}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_700_0.01666668892261294
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Timings: Avg: 11.745666666666665, Max: 11.92, Min: 11.6
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: 40.12466666666667
Best-param: {'param1': 2800, 'param2': 0.0023703460690548206}
Optimization Iteration: 16
Running with params: {'param1': 400, 'param2': 0.022310412563704116}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_400_0.022310412563704116
Launching 30 jobs, 30 in parallel
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Timings: Avg: 7.661666666666666, Max: 7.83, Min: 7.47
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: 40.12466666666667
Best-param: {'param1': 2800, 'param2': 0.0023703460690548206}
Optimization Iteration: 17
Running with params: {'param1': 2500, 'param2': 0.000637811230829002}
Lower learning rate.. returning... Best: 0.0023703460690548206, Proposed: 0.000637811230829002
Optimization Iteration: 18
Running with params: {'param1': 200, 'param2': 0.02675269631205869}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_200_0.02675269631205869
Launching 30 jobs, 30 in parallel
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Timings: Avg: 5.031666666666667, Max: 5.12, Min: 4.88
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: 40.12466666666667
Best-param: {'param1': 2800, 'param2': 0.0023703460690548206}
Optimization Iteration: 19
Running with params: {'param1': 500, 'param2': 0.0188031321419476}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_500_0.0188031321419476
Launching 30 jobs, 30 in parallel
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Timings: Avg: 8.767666666666667, Max: 8.9, Min: 8.62
Passed tests : 30
Failed tests : 0
Converged: False
Convergence score: 1.5504782908182622
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 8.776000000000002, Max: 8.99, Min: 8.62
Passed tests : 60
Failed tests : 0
Converged: False
Convergence score: 1.0485931104638335
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 8.76788888888889, Max: 8.99, Min: 8.62
Passed tests : 90
Failed tests : 0
Converged: False
Convergence score: 1.0461558290183084
Continuing to next batch...
Launching 30 jobs, 30 in parallel
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Timings: Avg: 8.764, Max: 8.99, Min: 8.5
Passed tests : 120
Failed tests : 0
Converged: True
Convergence score: 0.5329970137957755
updating...
Evaluating 120 values out of 120
Overall-timings: Avg: 8.764, Max: 8.99, Min: 8.5
Variance (2.5951906000618002e-33) too small, using delta distribution
Variance (1.580065025207695e-33) too small, using delta distribution
Variance (3.175376995808455e-33) too small, using delta distribution
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 8.764
Score: 8.764
Best-score: 8.764
Best-param: {'param1': 500, 'param2': 0.0188031321419476}
Optimization Iteration: 20
Running with params: {'param1': 700, 'param2': 0.00041866531755402217}
Higher iteration... returning...
Optimization Iteration: 21
Running with params: {'param1': 1900, 'param2': 0.00898697679539937}
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Optimization Iteration: 22
Running with params: {'param1': 1600, 'param2': 0.004989525544822061}
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Optimization Iteration: 23
Running with params: {'param1': 4900, 'param2': 0.001661298311056672}
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Optimization Iteration: 24
Running with params: {'param1': 3200, 'param2': 0.007584224613932551}
Higher iteration... returning...
Optimization Iteration: 25
Running with params: {'param1': 200, 'param2': 0.00257906802515967}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.00257906802515967
Optimization Iteration: 26
Running with params: {'param1': 1200, 'param2': 0.00989820671761715}
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Optimization Iteration: 27
Running with params: {'param1': 600, 'param2': 0.047435348044412094}
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Optimization Iteration: 28
Running with params: {'param1': 1900, 'param2': 0.001483499773065022}
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Optimization Iteration: 29
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Optimization Iteration: 30
Running with params: {'param1': 500, 'param2': 0.004887833413952176}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.004887833413952176
Optimization Iteration: 31
Running with params: {'param1': 1300, 'param2': 0.0002612641635117891}
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Optimization Iteration: 32
Running with params: {'param1': 300, 'param2': 0.0031520185693748068}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.0031520185693748068
Optimization Iteration: 33
Running with params: {'param1': 4000, 'param2': 0.011855778602935775}
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Optimization Iteration: 34
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Optimization Iteration: 35
Running with params: {'param1': 2500, 'param2': 0.001273721399201098}
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Optimization Iteration: 36
Running with params: {'param1': 200, 'param2': 0.039067498788785994}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_200_0.039067498788785994
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Timings: Avg: 4.985333333333334, Max: 5.050000000000001, Min: 4.9
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: 8.764
Best-param: {'param1': 500, 'param2': 0.0188031321419476}
Optimization Iteration: 37
Running with params: {'param1': 300, 'param2': 0.00028466322105377863}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.00028466322105377863
Optimization Iteration: 38
Running with params: {'param1': 100, 'param2': 0.015285312644889885}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.015285312644889885
Optimization Iteration: 39
Running with params: {'param1': 900, 'param2': 0.003960028623197688}
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Optimization Iteration: 40
Running with params: {'param1': 500, 'param2': 0.00594106874032386}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.00594106874032386
Optimization Iteration: 41
Running with params: {'param1': 1500, 'param2': 0.0018620534682307582}
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Optimization Iteration: 42
Running with params: {'param1': 2500, 'param2': 0.0010580902109322706}
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Optimization Iteration: 43
Running with params: {'param1': 100, 'param2': 0.00010064176645972857}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.00010064176645972857
Optimization Iteration: 44
Running with params: {'param1': 300, 'param2': 0.011979822810547542}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.011979822810547542
Optimization Iteration: 45
Running with params: {'param1': 500, 'param2': 0.0006066819022406547}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.0006066819022406547
Optimization Iteration: 46
Running with params: {'param1': 600, 'param2': 0.0001619721775302848}
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Optimization Iteration: 47
Running with params: {'param1': 200, 'param2': 0.028398230596854226}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_200_0.028398230596854226
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Timings: Avg: 5.006333333333333, Max: 5.1, Min: 4.88
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: 8.764
Best-param: {'param1': 500, 'param2': 0.0188031321419476}
Optimization Iteration: 48
Running with params: {'param1': 3900, 'param2': 0.003242879117879936}
Higher iteration... returning...
Optimization Iteration: 49
Running with params: {'param1': 1900, 'param2': 0.00041740939384749497}
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Optimization Iteration: 50
Running with params: {'param1': 800, 'param2': 0.019777542008487956}
Higher iteration... returning...
Upto iteration 50: {'param1': 500.0, 'param2': 0.0188031321419476}
Optimization Iteration: 51
Running with params: {'param1': 400, 'param2': 0.002043048433851921}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.002043048433851921
Optimization Iteration: 52
Running with params: {'param1': 100, 'param2': 0.03358859149432444}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_100_0.03358859149432444
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.6646666666666676, Max: 3.71, Min: 3.62
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: 8.764
Best-param: {'param1': 500, 'param2': 0.0188031321419476}
Optimization Iteration: 53
Running with params: {'param1': 2800, 'param2': 0.0006569350179392907}
Higher iteration... returning...
Optimization Iteration: 54
Running with params: {'param1': 4300, 'param2': 0.02271532186155232}
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Optimization Iteration: 55
Running with params: {'param1': 1500, 'param2': 0.0009217751899757062}
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Optimization Iteration: 56
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Optimization Iteration: 57
Running with params: {'param1': 2100, 'param2': 0.008739355476796056}
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Optimization Iteration: 58
Running with params: {'param1': 600, 'param2': 0.002301393322869711}
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Optimization Iteration: 59
Running with params: {'param1': 3300, 'param2': 0.004030363164282049}
Higher iteration... returning...
Optimization Iteration: 60
Running with params: {'param1': 400, 'param2': 0.0012668694553173625}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.0012668694553173625
Optimization Iteration: 61
Running with params: {'param1': 300, 'param2': 0.00018084982685822167}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.00018084982685822167
Optimization Iteration: 62
Running with params: {'param1': 200, 'param2': 0.0029916112041797425}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.0029916112041797425
Optimization Iteration: 63
Running with params: {'param1': 800, 'param2': 0.005910668088898079}
Higher iteration... returning...
Optimization Iteration: 64
Running with params: {'param1': 1100, 'param2': 0.00035302084227653135}
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Optimization Iteration: 65
Running with params: {'param1': 700, 'param2': 0.02517751944854852}
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Optimization Iteration: 66
Running with params: {'param1': 1700, 'param2': 0.0005369838308688759}
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Optimization Iteration: 67
Running with params: {'param1': 2200, 'param2': 0.000800835148735415}
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Optimization Iteration: 68
Running with params: {'param1': 1300, 'param2': 0.0014289372462033764}
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Optimization Iteration: 69
Running with params: {'param1': 900, 'param2': 0.0002732599825240241}
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Optimization Iteration: 70
Running with params: {'param1': 800, 'param2': 0.036918960354986555}
Higher iteration... returning...
Optimization Iteration: 71
Running with params: {'param1': 500, 'param2': 0.0017687575453162688}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.0017687575453162688
Optimization Iteration: 72
Running with params: {'param1': 100, 'param2': 0.03245737448971249}
Logdir: /mnt/batch/tasks/workitems/optwseed/job-1/Task_pyro/wd/borntobeflaky/tool/logs/optim_1597896455_pyro/run_1597914455/assert_51002261_100_0.03245737448971249
Launching 30 jobs, 30 in parallel
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Timings: Avg: 3.684, Max: 3.74, Min: 3.6
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: 8.764
Best-param: {'param1': 500, 'param2': 0.0188031321419476}
Optimization Iteration: 73
Running with params: {'param1': 3000, 'param2': 0.00010922354692357476}
Higher iteration... returning...
Optimization Iteration: 74
Running with params: {'param1': 2800, 'param2': 0.0007466007213568274}
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Optimization Iteration: 75
Running with params: {'param1': 3700, 'param2': 0.04952505920743105}
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Optimization Iteration: 76
Running with params: {'param1': 1500, 'param2': 0.000919140620072766}
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Optimization Iteration: 77
Running with params: {'param1': 1200, 'param2': 0.013949650225094683}
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Optimization Iteration: 78
Running with params: {'param1': 2200, 'param2': 0.0004199412794845361}
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Optimization Iteration: 79
Running with params: {'param1': 4600, 'param2': 0.0027378405466142353}
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Optimization Iteration: 80
Running with params: {'param1': 1700, 'param2': 0.00020136732748778067}
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Optimization Iteration: 81
Running with params: {'param1': 1000, 'param2': 0.003602771680706809}
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Optimization Iteration: 82
Running with params: {'param1': 600, 'param2': 0.00032904035192877617}
Higher iteration... returning...
Optimization Iteration: 83
Running with params: {'param1': 300, 'param2': 0.001120895298545136}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.001120895298545136
Optimization Iteration: 84
Running with params: {'param1': 2600, 'param2': 0.00520013029418531}
Higher iteration... returning...
Optimization Iteration: 85
Running with params: {'param1': 400, 'param2': 0.011022954736917213}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.011022954736917213
Optimization Iteration: 86
Running with params: {'param1': 1400, 'param2': 0.017632657054720384}
Higher iteration... returning...
Optimization Iteration: 87
Running with params: {'param1': 4900, 'param2': 0.002088121970963905}
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Optimization Iteration: 88
Running with params: {'param1': 3600, 'param2': 0.007110413335086807}
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Optimization Iteration: 89
Running with params: {'param1': 2000, 'param2': 0.00023121863894203033}
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Optimization Iteration: 90
Running with params: {'param1': 700, 'param2': 0.0015648340156109157}
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Optimization Iteration: 91
Running with params: {'param1': 900, 'param2': 0.00048438070694411373}
Higher iteration... returning...
Optimization Iteration: 92
Running with params: {'param1': 1100, 'param2': 0.00015188444923070458}
Higher iteration... returning...
Optimization Iteration: 93
Running with params: {'param1': 1800, 'param2': 0.009373060811812476}
Higher iteration... returning...
Optimization Iteration: 94
Running with params: {'param1': 500, 'param2': 0.004448353487073372}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.004448353487073372
Optimization Iteration: 95
Running with params: {'param1': 2300, 'param2': 0.002525013053848352}
Higher iteration... returning...
Optimization Iteration: 96
Running with params: {'param1': 200, 'param2': 0.008106638153177734}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.008106638153177734
Optimization Iteration: 97
Running with params: {'param1': 4400, 'param2': 0.0013252767068830534}
Higher iteration... returning...
Optimization Iteration: 98
Running with params: {'param1': 400, 'param2': 0.000572133206445576}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.000572133206445576
Optimization Iteration: 99
Running with params: {'param1': 300, 'param2': 0.0007088565689231737}
Lower learning rate.. returning... Best: 0.0188031321419476, Proposed: 0.0007088565689231737
Optimization Iteration: 100
Running with params: {'param1': 600, 'param2': 0.020666738660442007}
Higher iteration... returning...
Upto iteration 100: {'param1': 500.0, 'param2': 0.0188031321419476}
Breaking...
{'param1': 500.0, 'param2': 0.0188031321419476}
Best score: 8.764
Repeated params: 0
Trials: 101
Best param {'param1': 500.0, 'param2': 0.0188031321419476}
Reduction: 87.54712691586306%
Speedup: 8.030275368933516x
Optimizer time: 293.65336561203003
