junit.html

Report generated on 26-Apr-2023 at 13:34:17 by pytest-html v3.2.0

Environment

Packages {"pluggy": "1.0.0", "pytest": "7.3.1"}
Platform Linux-5.15.0-1035-azure-x86_64-with-glibc2.31
Plugins {"html": "3.2.0", "metadata": "2.0.4"}
Python 3.9.2

Summary

17 tests ran in 327.03 seconds.

17 passed, 0 skipped, 0 failed, 0 errors, 0 expected failures, 0 unexpected passes

Results

Result Test Duration Links
Passed test/validation/test_distribution_estimator.py::test_Gaussian_KS 0.30
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Testing Gaussian distribution with Kolmogorov Smirnov Test: Input location : [0], Input Scale : [[1]] Output location : [-0.00248831], Output Scale : [[1.0421936]]
Passed test/validation/test_distribution_estimator.py::test_Gaussian_CVM 0.23
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Testing Gaussian distribution with Cramer von Mises Criterion: Input location : [0], Input Scale : [[1]] Output location : [0.0331607], Output Scale : [[1.10551167]]
Passed test/validation/test_distribution_estimator.py::test_Gaussian_AD 0.31
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Testing Gaussian distribution with Anderson-Darling Test: Input location : [0], Input Scale : [[1]] Output location : [-5.18005863e-06], Output Scale : [[1.02691328]]
Passed test/validation/test_distribution_estimator.py::test_StudentsT_KS 1.42
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Testing Student's T distribution with Kolmogorov Smirnov Test: Input location : [0], Input Scale : [[1]], Input DOF : [30] Output location : [-0.05324606], Output Scale : [[1.08046926]], Output DOF : 34.784655375402494
Passed test/validation/test_distribution_estimator.py::test_StudentsT_CVM 1.43
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Testing Student's T distribution with Cramer von Mises Criterion: Input location : [0], Input Scale : [[1]], Input DOF : [30] Output location : [0.04215056], Output Scale : [[0.99882717]], Output DOF : 31.338628870411966
Passed test/validation/test_distribution_estimator.py::test_StudentsT_AD 0.31
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Testing Student's T distribution with Anderson-Darling Test: Input location : [0], Input Scale : [[1]], Input DOF : [30] Output location : [-0.00145861], Output Scale : [[1.03141008]], Output DOF : 32.381966003670215
Passed test/validation/test_distribution_estimator.py::test_Cauchy_KS 2.73
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Testing Cauchy distribution with Kolmogorov Smirnov Test: Input location : [0], Input Scale : [[1]] Output location : [0.0049532], Output Scale : [[1.00135362]]
Passed test/validation/test_distribution_estimator.py::test_Cauchy_CVM 2.22
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Testing Cauchy distribution with Cramer von Mises Criterion: Input location : [0], Input Scale : [[1]] Output location : [-0.00011827], Output Scale : [[1.01619861]]
Passed test/validation/test_distribution_estimator.py::test_Cauchy_AD 2.64
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Testing Cauchy distribution with Anderson-Darling Test: Input location : [0], Input Scale : [[1]] Output location : [-0.02900186], Output Scale : [[1.06424131]]
Passed test/validation/test_distribution_estimator.py::test_GPD_Grimshaw_MLE 0.01
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Testing Generalized Pareto Distribution with Grimshaw MLE: Input location : [0], Input Shape : 0.5, Input Scale : [[2]] Output location : [[None]], Output Shape : [[0.48712315]], Output Scale : [[1.83763253]] R location : None, R Shape : 0.4871232, R Scale : 1.837633
Passed test/validation/test_distribution_estimator.py::test_GPD_MOM 0.00
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Testing Generalized Pareto Distribution with MoM: Input location : [0], Input Shape : -0.5, Input Scale : [[2]] Output location : [[None]], Output Shape : [[-0.43931749]], Output Scale : [[1.83050338]] R location : None, R Shape : -0.4393175, R Scale : 1.8305034
Passed test/validation/test_distribution_estimator.py::test_GPD_PWM 0.00
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Testing Generalized Pareto Distribution with method of PWM: Input location : [0], Input Shape : -0.5, Input Scale : [[2]] Output location : [[None]], Output Shape : [[-0.43169183]], Output Scale : [[1.82080518]] R location : None, R Shape : -0.4316918, R Scale : 1.8208052
Passed test/validation/test_distribution_overbounder.py::test_FusionGaussian 0.00
No log output captured.
Passed test/validation/test_distribution_overbounder.py::test_SymmetricGaussianOverbound 37.20
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Testing Symmetric Gaussian Overbounder: Input Location : 0, Input Scale : 1 Expected Output Location : 0, Expected Output Scale : 1.4279351025441724, Actual Output Location : 0, Actual Output Scale : 1.4279351025449945
Passed test/validation/test_distribution_overbounder.py::test_SymmetricGPO 68.63
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Testing Symmetric Gaussian-Pareto Overbounder: Computing Symmetric Gaussian-Pareto Overbound... Computing Tail GPD Shape Parameter Estimates... Progress: 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Computing Gaussian Overbound for Core Region... Computing Tail GPD Scale Parameter... Done. ------ Runtime for n = 10,000: 1.14 minutes Expected Output Gamma : 0.15465916616848446, Expected Output Beta : 3.634927976810183, Expected Output u : 2.747164551208518, Expected Output Core Sigma : 1.3401913542555797, Actual Output Gamma : 0.1546591661684747, Actual Output Beta : 3.6349279768102045, Actual Output u : 2.747164551208518, Actual Output Core Sigma : 1.3401913542555797
Passed test/validation/test_distribution_overbounder.py::test_PairedGaussianOverbound 47.75
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Testing Paired Gaussian Overbounder:
Passed test/validation/test_distribution_overbounder.py::test_PairedGPO 159.59
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Testing Paired Gaussian-Pareto Overbounder: