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January 19, 2023 19:16
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| ub = array([ 3., 2., 2., -1.]) | |
| x0 = array([0.5488135 , 0.71518937, 0.60276338, 0.54488318]) | |
| _________________________________ test_equal_bounds[None-constraints4-<lambda>-kwds0-SLSQP] _________________________________ | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/optimize/tests/test_optimize.py:2491: in test_equal_bounds | |
| assert_allclose(res.fun, expected.fun, rtol=1e-6) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-06, atol=0 | |
| E | |
| E Mismatched elements: 1 / 1 (100%) | |
| E Max absolute difference: 0.00196509 | |
| E Max relative difference: 1.41444657e-06 | |
| E x: array(1389.303896) | |
| E y: array(1389.301931) | |
| bound_type = <function setup_test_equal_bounds.<locals>.<lambda> at 0x7f2b48d12710> | |
| bounds = [(0.0, 3.0), (2.0, 2.0), (-1.0, 2.0), (-1.0, -1.0)] | |
| callback = None | |
| constraints = ([<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>], [<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>]) | |
| expected = fun: 1389.3019312897964 | |
| jac: array([-3.99998025e+02, 2.69818662e+03, -1.21184661e-02, -3.54797032e+02]) | |
| me... nit: 15 | |
| njev: 11 | |
| status: 0 | |
| success: True | |
| x: array([ 1.00000491, 2. , 0.87976426, -1. ]) | |
| fd_needed = False | |
| i_eb = array([False, True, False, True]) | |
| kwds = {'bounds': [(0.0, 3.0), (2.0, 2.0), (-1.0, 2.0), (-1.0, -1.0)], 'callback': None, 'constraints': [<scipy.optimize._con...rConstraint object at 0x7f2b48364670>], 'fun': <function setup_test_equal_bounds.<locals>.func at 0x7f2b48d12290>, ...} | |
| lb = array([ 0., 2., -1., -1.]) | |
| method = 'SLSQP' | |
| reference_constraints = [<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>] | |
| res = fun: 1389.303896383151 | |
| jac: array([-4.00000012e+02, nan, 3.20434570e-04, nan]) | |
| mes... nit: 6 | |
| njev: 6 | |
| status: 0 | |
| success: True | |
| x: array([ 1. , 2. , 0.87977218, -1. ]) | |
| test_constraints = [<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>] | |
| ub = array([ 3., 2., 2., -1.]) | |
| x0 = array([0.5488135 , 0.71518937, 0.60276338, 0.54488318]) | |
| __________________________________ test_equal_bounds[None-constraints4-Bounds-kwds0-SLSQP] __________________________________ | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/optimize/tests/test_optimize.py:2491: in test_equal_bounds | |
| assert_allclose(res.fun, expected.fun, rtol=1e-6) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-06, atol=0 | |
| E | |
| E Mismatched elements: 1 / 1 (100%) | |
| E Max absolute difference: 0.00196509 | |
| E Max relative difference: 1.41444657e-06 | |
| E x: array(1389.303896) | |
| E y: array(1389.301931) | |
| bound_type = <class 'scipy.optimize._constraints.Bounds'> | |
| bounds = Bounds(array([ 0., 2., -1., -1.]), array([ 3., 2., 2., -1.])) | |
| callback = None | |
| constraints = ([<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>], [<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>]) | |
| expected = fun: 1389.3019312897964 | |
| jac: array([-3.99998025e+02, 2.69818662e+03, -1.21184661e-02, -3.54797032e+02]) | |
| me... nit: 15 | |
| njev: 11 | |
| status: 0 | |
| success: True | |
| x: array([ 1.00000491, 2. , 0.87976426, -1. ]) | |
| fd_needed = False | |
| i_eb = array([False, True, False, True]) | |
| kwds = {'bounds': Bounds(array([ 0., 2., -1., -1.]), array([ 3., 2., 2., -1.])), 'callback': None, 'constraints': [<scipy....rConstraint object at 0x7f2b48364670>], 'fun': <function setup_test_equal_bounds.<locals>.func at 0x7f2b48d12290>, ...} | |
| lb = array([ 0., 2., -1., -1.]) | |
| method = 'SLSQP' | |
| reference_constraints = [<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>] | |
| res = fun: 1389.303896383151 | |
| jac: array([-4.00000012e+02, nan, 3.20434570e-04, nan]) | |
| mes... nit: 6 | |
| njev: 6 | |
| status: 0 | |
| success: True | |
| x: array([ 1. , 2. , 0.87977218, -1. ]) | |
| test_constraints = [<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>] | |
| ub = array([ 3., 2., 2., -1.]) | |
| x0 = array([0.5488135 , 0.71518937, 0.60276338, 0.54488318]) | |
| _______________________________ test_equal_bounds[callback-constraints2-<lambda>-kwds0-SLSQP] _______________________________ | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/optimize/tests/test_optimize.py:2491: in test_equal_bounds | |
| assert_allclose(res.fun, expected.fun, rtol=1e-6) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-06, atol=0 | |
| E | |
| E Mismatched elements: 1 / 1 (100%) | |
| E Max absolute difference: 0.00196509 | |
| E Max relative difference: 1.41444657e-06 | |
| E x: array(1389.303896) | |
| E y: array(1389.301931) | |
| bound_type = <function setup_test_equal_bounds.<locals>.<lambda> at 0x7f2b48d12710> | |
| bounds = [(0.0, 3.0), (2.0, 2.0), (-1.0, 2.0), (-1.0, -1.0)] | |
| callback = <function setup_test_equal_bounds.<locals>.callback at 0x7f2b48d123b0> | |
| constraints = (<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364880>, <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>) | |
| expected = fun: 1389.3019312897964 | |
| jac: array([-3.99998025e+02, 2.69818662e+03, -1.21184661e-02, -3.54797032e+02]) | |
| me... nit: 15 | |
| njev: 11 | |
| status: 0 | |
| success: True | |
| x: array([ 1.00000491, 2. , 0.87976426, -1. ]) | |
| fd_needed = True | |
| i_eb = array([False, True, False, True]) | |
| kwds = {'bounds': [(0.0, 3.0), (2.0, 2.0), (-1.0, 2.0), (-1.0, -1.0)], 'callback': <function setup_test_equal_bounds.<locals>...arConstraint object at 0x7f2b48364880>, 'fun': <function setup_test_equal_bounds.<locals>.func at 0x7f2b48d12290>, ...} | |
| lb = array([ 0., 2., -1., -1.]) | |
| method = 'SLSQP' | |
| reference_constraints = <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670> | |
| res = fun: 1389.303896383151 | |
| jac: array([-4.00000012e+02, nan, 3.20434570e-04, nan]) | |
| mes... nit: 6 | |
| njev: 6 | |
| status: 0 | |
| success: True | |
| x: array([ 1. , 2. , 0.87977218, -1. ]) | |
| test_constraints = <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364880> | |
| ub = array([ 3., 2., 2., -1.]) | |
| x0 = array([0.5488135 , 0.71518937, 0.60276338, 0.54488318]) | |
| _______________________________ test_equal_bounds[callback-constraints2-<lambda>-kwds1-SLSQP] _______________________________ | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/optimize/tests/test_optimize.py:2491: in test_equal_bounds | |
| assert_allclose(res.fun, expected.fun, rtol=1e-6) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-06, atol=0 | |
| E | |
| E Mismatched elements: 1 / 1 (100%) | |
| E Max absolute difference: 0.00196303 | |
| E Max relative difference: 1.41296429e-06 | |
| E x: array(1389.303894) | |
| E y: array(1389.301931) | |
| bound_type = <function setup_test_equal_bounds.<locals>.<lambda> at 0x7f2b48d12710> | |
| bounds = [(0.0, 3.0), (2.0, 2.0), (-1.0, 2.0), (-1.0, -1.0)] | |
| callback = <function setup_test_equal_bounds.<locals>.callback at 0x7f2b48d123b0> | |
| constraints = (<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364880>, <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>) | |
| expected = fun: 1389.3019312897964 | |
| jac: array([-3.99998025e+02, 2.69818662e+03, -1.21184661e-02, -3.54797032e+02]) | |
| me... nit: 15 | |
| njev: 11 | |
| status: 0 | |
| success: True | |
| x: array([ 1.00000491, 2. , 0.87976426, -1. ]) | |
| fd_needed = True | |
| i_eb = array([False, True, False, True]) | |
| kwds = {'bounds': [(0.0, 3.0), (2.0, 2.0), (-1.0, 2.0), (-1.0, -1.0)], 'callback': <function setup_test_equal_bounds.<locals>...arConstraint object at 0x7f2b48364880>, 'fun': <function setup_test_equal_bounds.<locals>.func at 0x7f2b48d12290>, ...} | |
| lb = array([ 0., 2., -1., -1.]) | |
| method = 'SLSQP' | |
| reference_constraints = <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670> | |
| res = fun: 1389.3038943238153 | |
| jac: array([-3.99999998e+02, nan, 3.35795480e-04, nan]) | |
| me...18 | |
| nit: 6 | |
| njev: 6 | |
| status: 0 | |
| success: True | |
| x: array([ 1. , 2. , 0.8797724, -1. ]) | |
| test_constraints = <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364880> | |
| ub = array([ 3., 2., 2., -1.]) | |
| x0 = array([0.5488135 , 0.71518937, 0.60276338, 0.54488318]) | |
| _______________________________ test_equal_bounds[callback-constraints2-<lambda>-kwds2-SLSQP] _______________________________ | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/optimize/tests/test_optimize.py:2491: in test_equal_bounds | |
| assert_allclose(res.fun, expected.fun, rtol=1e-6) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-06, atol=0 | |
| E | |
| E Mismatched elements: 1 / 1 (100%) | |
| E Max absolute difference: 0.00196303 | |
| E Max relative difference: 1.41296429e-06 | |
| E x: array(1389.303894) | |
| E y: array(1389.301931) | |
| bound_type = <function setup_test_equal_bounds.<locals>.<lambda> at 0x7f2b48d12710> | |
| bounds = [(0.0, 3.0), (2.0, 2.0), (-1.0, 2.0), (-1.0, -1.0)] | |
| callback = <function setup_test_equal_bounds.<locals>.callback at 0x7f2b48d123b0> | |
| constraints = (<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364880>, <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>) | |
| expected = fun: 1389.3019312897964 | |
| jac: array([-3.99998025e+02, 2.69818662e+03, -1.21184661e-02, -3.54797032e+02]) | |
| me... nit: 15 | |
| njev: 11 | |
| status: 0 | |
| success: True | |
| x: array([ 1.00000491, 2. , 0.87976426, -1. ]) | |
| fd_needed = True | |
| i_eb = array([False, True, False, True]) | |
| kwds = {'bounds': [(0.0, 3.0), (2.0, 2.0), (-1.0, 2.0), (-1.0, -1.0)], 'callback': <function setup_test_equal_bounds.<locals>...nstraint object at 0x7f2b48364880>, 'fun': <function setup_test_equal_bounds.<locals>.<lambda> at 0x7f2b48d12680>, ...} | |
| lb = array([ 0., 2., -1., -1.]) | |
| method = 'SLSQP' | |
| reference_constraints = <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670> | |
| res = fun: 1389.3038943238153 | |
| jac: array([-3.99999998e+02, nan, 3.35795480e-04, nan]) | |
| me...18 | |
| nit: 6 | |
| njev: 6 | |
| status: 0 | |
| success: True | |
| x: array([ 1. , 2. , 0.8797724, -1. ]) | |
| test_constraints = <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364880> | |
| ub = array([ 3., 2., 2., -1.]) | |
| x0 = array([0.5488135 , 0.71518937, 0.60276338, 0.54488318]) | |
| ________________________________ test_equal_bounds[callback-constraints2-Bounds-kwds0-SLSQP] ________________________________ | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/optimize/tests/test_optimize.py:2491: in test_equal_bounds | |
| assert_allclose(res.fun, expected.fun, rtol=1e-6) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-06, atol=0 | |
| E | |
| E Mismatched elements: 1 / 1 (100%) | |
| E Max absolute difference: 0.00196509 | |
| E Max relative difference: 1.41444657e-06 | |
| E x: array(1389.303896) | |
| E y: array(1389.301931) | |
| bound_type = <class 'scipy.optimize._constraints.Bounds'> | |
| bounds = Bounds(array([ 0., 2., -1., -1.]), array([ 3., 2., 2., -1.])) | |
| callback = <function setup_test_equal_bounds.<locals>.callback at 0x7f2b48d123b0> | |
| constraints = (<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364880>, <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>) | |
| expected = fun: 1389.3019312897964 | |
| jac: array([-3.99998025e+02, 2.69818662e+03, -1.21184661e-02, -3.54797032e+02]) | |
| me... nit: 15 | |
| njev: 11 | |
| status: 0 | |
| success: True | |
| x: array([ 1.00000491, 2. , 0.87976426, -1. ]) | |
| fd_needed = True | |
| i_eb = array([False, True, False, True]) | |
| kwds = {'bounds': Bounds(array([ 0., 2., -1., -1.]), array([ 3., 2., 2., -1.])), 'callback': <function setup_test_equal_bo...arConstraint object at 0x7f2b48364880>, 'fun': <function setup_test_equal_bounds.<locals>.func at 0x7f2b48d12290>, ...} | |
| lb = array([ 0., 2., -1., -1.]) | |
| method = 'SLSQP' | |
| reference_constraints = <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670> | |
| res = fun: 1389.303896383151 | |
| jac: array([-4.00000012e+02, nan, 3.20434570e-04, nan]) | |
| mes... nit: 6 | |
| njev: 6 | |
| status: 0 | |
| success: True | |
| x: array([ 1. , 2. , 0.87977218, -1. ]) | |
| test_constraints = <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364880> | |
| ub = array([ 3., 2., 2., -1.]) | |
| x0 = array([0.5488135 , 0.71518937, 0.60276338, 0.54488318]) | |
| ________________________________ test_equal_bounds[callback-constraints2-Bounds-kwds1-SLSQP] ________________________________ | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/optimize/tests/test_optimize.py:2491: in test_equal_bounds | |
| assert_allclose(res.fun, expected.fun, rtol=1e-6) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-06, atol=0 | |
| E | |
| E Mismatched elements: 1 / 1 (100%) | |
| E Max absolute difference: 0.00196303 | |
| E Max relative difference: 1.41296429e-06 | |
| E x: array(1389.303894) | |
| E y: array(1389.301931) | |
| bound_type = <class 'scipy.optimize._constraints.Bounds'> | |
| bounds = Bounds(array([ 0., 2., -1., -1.]), array([ 3., 2., 2., -1.])) | |
| callback = <function setup_test_equal_bounds.<locals>.callback at 0x7f2b48d123b0> | |
| constraints = (<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364880>, <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>) | |
| expected = fun: 1389.3019312897964 | |
| jac: array([-3.99998025e+02, 2.69818662e+03, -1.21184661e-02, -3.54797032e+02]) | |
| me... nit: 15 | |
| njev: 11 | |
| status: 0 | |
| success: True | |
| x: array([ 1.00000491, 2. , 0.87976426, -1. ]) | |
| fd_needed = True | |
| i_eb = array([False, True, False, True]) | |
| kwds = {'bounds': Bounds(array([ 0., 2., -1., -1.]), array([ 3., 2., 2., -1.])), 'callback': <function setup_test_equal_bo...arConstraint object at 0x7f2b48364880>, 'fun': <function setup_test_equal_bounds.<locals>.func at 0x7f2b48d12290>, ...} | |
| lb = array([ 0., 2., -1., -1.]) | |
| method = 'SLSQP' | |
| reference_constraints = <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670> | |
| res = fun: 1389.3038943238153 | |
| jac: array([-3.99999998e+02, nan, 3.35795480e-04, nan]) | |
| me...18 | |
| nit: 6 | |
| njev: 6 | |
| status: 0 | |
| success: True | |
| x: array([ 1. , 2. , 0.8797724, -1. ]) | |
| test_constraints = <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364880> | |
| ub = array([ 3., 2., 2., -1.]) | |
| x0 = array([0.5488135 , 0.71518937, 0.60276338, 0.54488318]) | |
| ________________________________ test_equal_bounds[callback-constraints2-Bounds-kwds2-SLSQP] ________________________________ | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/optimize/tests/test_optimize.py:2491: in test_equal_bounds | |
| assert_allclose(res.fun, expected.fun, rtol=1e-6) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-06, atol=0 | |
| E | |
| E Mismatched elements: 1 / 1 (100%) | |
| E Max absolute difference: 0.00196303 | |
| E Max relative difference: 1.41296429e-06 | |
| E x: array(1389.303894) | |
| E y: array(1389.301931) | |
| bound_type = <class 'scipy.optimize._constraints.Bounds'> | |
| bounds = Bounds(array([ 0., 2., -1., -1.]), array([ 3., 2., 2., -1.])) | |
| callback = <function setup_test_equal_bounds.<locals>.callback at 0x7f2b48d123b0> | |
| constraints = (<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364880>, <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>) | |
| expected = fun: 1389.3019312897964 | |
| jac: array([-3.99998025e+02, 2.69818662e+03, -1.21184661e-02, -3.54797032e+02]) | |
| me... nit: 15 | |
| njev: 11 | |
| status: 0 | |
| success: True | |
| x: array([ 1.00000491, 2. , 0.87976426, -1. ]) | |
| fd_needed = True | |
| i_eb = array([False, True, False, True]) | |
| kwds = {'bounds': Bounds(array([ 0., 2., -1., -1.]), array([ 3., 2., 2., -1.])), 'callback': <function setup_test_equal_bo...nstraint object at 0x7f2b48364880>, 'fun': <function setup_test_equal_bounds.<locals>.<lambda> at 0x7f2b48d12680>, ...} | |
| lb = array([ 0., 2., -1., -1.]) | |
| method = 'SLSQP' | |
| reference_constraints = <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670> | |
| res = fun: 1389.3038943238153 | |
| jac: array([-3.99999998e+02, nan, 3.35795480e-04, nan]) | |
| me...18 | |
| nit: 6 | |
| njev: 6 | |
| status: 0 | |
| success: True | |
| x: array([ 1. , 2. , 0.8797724, -1. ]) | |
| test_constraints = <scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364880> | |
| ub = array([ 3., 2., 2., -1.]) | |
| x0 = array([0.5488135 , 0.71518937, 0.60276338, 0.54488318]) | |
| _______________________________ test_equal_bounds[callback-constraints4-<lambda>-kwds0-SLSQP] _______________________________ | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/optimize/tests/test_optimize.py:2491: in test_equal_bounds | |
| assert_allclose(res.fun, expected.fun, rtol=1e-6) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-06, atol=0 | |
| E | |
| E Mismatched elements: 1 / 1 (100%) | |
| E Max absolute difference: 0.00196509 | |
| E Max relative difference: 1.41444657e-06 | |
| E x: array(1389.303896) | |
| E y: array(1389.301931) | |
| bound_type = <function setup_test_equal_bounds.<locals>.<lambda> at 0x7f2b48d12710> | |
| bounds = [(0.0, 3.0), (2.0, 2.0), (-1.0, 2.0), (-1.0, -1.0)] | |
| callback = <function setup_test_equal_bounds.<locals>.callback at 0x7f2b48d123b0> | |
| constraints = ([<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>], [<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>]) | |
| expected = fun: 1389.3019312897964 | |
| jac: array([-3.99998025e+02, 2.69818662e+03, -1.21184661e-02, -3.54797032e+02]) | |
| me... nit: 15 | |
| njev: 11 | |
| status: 0 | |
| success: True | |
| x: array([ 1.00000491, 2. , 0.87976426, -1. ]) | |
| fd_needed = False | |
| i_eb = array([False, True, False, True]) | |
| kwds = {'bounds': [(0.0, 3.0), (2.0, 2.0), (-1.0, 2.0), (-1.0, -1.0)], 'callback': <function setup_test_equal_bounds.<locals>...rConstraint object at 0x7f2b48364670>], 'fun': <function setup_test_equal_bounds.<locals>.func at 0x7f2b48d12290>, ...} | |
| lb = array([ 0., 2., -1., -1.]) | |
| method = 'SLSQP' | |
| reference_constraints = [<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>] | |
| res = fun: 1389.303896383151 | |
| jac: array([-4.00000012e+02, nan, 3.20434570e-04, nan]) | |
| mes... nit: 6 | |
| njev: 6 | |
| status: 0 | |
| success: True | |
| x: array([ 1. , 2. , 0.87977218, -1. ]) | |
| test_constraints = [<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>] | |
| ub = array([ 3., 2., 2., -1.]) | |
| x0 = array([0.5488135 , 0.71518937, 0.60276338, 0.54488318]) | |
| ________________________________ test_equal_bounds[callback-constraints4-Bounds-kwds0-SLSQP] ________________________________ | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/optimize/tests/test_optimize.py:2491: in test_equal_bounds | |
| assert_allclose(res.fun, expected.fun, rtol=1e-6) | |
| E AssertionError: | |
| E Not equal to tolerance rtol=1e-06, atol=0 | |
| E | |
| E Mismatched elements: 1 / 1 (100%) | |
| E Max absolute difference: 0.00196509 | |
| E Max relative difference: 1.41444657e-06 | |
| E x: array(1389.303896) | |
| E y: array(1389.301931) | |
| bound_type = <class 'scipy.optimize._constraints.Bounds'> | |
| bounds = Bounds(array([ 0., 2., -1., -1.]), array([ 3., 2., 2., -1.])) | |
| callback = <function setup_test_equal_bounds.<locals>.callback at 0x7f2b48d123b0> | |
| constraints = ([<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>], [<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>]) | |
| expected = fun: 1389.3019312897964 | |
| jac: array([-3.99998025e+02, 2.69818662e+03, -1.21184661e-02, -3.54797032e+02]) | |
| me... nit: 15 | |
| njev: 11 | |
| status: 0 | |
| success: True | |
| x: array([ 1.00000491, 2. , 0.87976426, -1. ]) | |
| fd_needed = False | |
| i_eb = array([False, True, False, True]) | |
| kwds = {'bounds': Bounds(array([ 0., 2., -1., -1.]), array([ 3., 2., 2., -1.])), 'callback': <function setup_test_equal_bo...rConstraint object at 0x7f2b48364670>], 'fun': <function setup_test_equal_bounds.<locals>.func at 0x7f2b48d12290>, ...} | |
| lb = array([ 0., 2., -1., -1.]) | |
| method = 'SLSQP' | |
| reference_constraints = [<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>] | |
| res = fun: 1389.303896383151 | |
| jac: array([-4.00000012e+02, nan, 3.20434570e-04, nan]) | |
| mes... nit: 6 | |
| njev: 6 | |
| status: 0 | |
| success: True | |
| x: array([ 1. , 2. , 0.87977218, -1. ]) | |
| test_constraints = [<scipy.optimize._constraints.NonlinearConstraint object at 0x7f2b48364670>] | |
| ub = array([ 3., 2., 2., -1.]) | |
| x0 = array([0.5488135 , 0.71518937, 0.60276338, 0.54488318]) | |
| ____________________________________________ test_cont_basic[500-200-ncf-arg74] _____________________________________________ | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/stats/tests/test_continuous_basic.py:186: in test_cont_basic | |
| check_entropy(distfn, arg, distname) | |
| alpha = 0.01 | |
| arg = (27, 27, 0.41578441799226107) | |
| distfn = <scipy.stats._continuous_distns.ncf_gen object at 0x7f2b4b5dc700> | |
| distname = 'ncf' | |
| locscale_defaults = (0, 1) | |
| m = array(1.09663138) | |
| meths = [<bound method rv_continuous.pdf of <scipy.stats._continuous_distns.ncf_gen object at 0x7f2b4b5dc700>>, <bound method ...f2b4b5dc700>>, <bound method rv_continuous.logsf of <scipy.stats._continuous_distns.ncf_gen object at 0x7f2b4b5dc700>>] | |
| n_fit_samples = 200 | |
| rng = RandomState(MT19937) at 0x7F2AB0254340 | |
| rvs = array([0.90888841, 0.87523216, 0.73228753, 1.33584017, 0.93548576, | |
| 1.09504212, 1.15670442, 0.36786914, 0.791225...03, 1.73540023, 0.87035866, 0.73702581, 0.81477748, | |
| 0.87362182, 1.58673099, 1.88455316, 0.61564337, 1.09912842]) | |
| sm = 1.0740685247899555 | |
| sn = 500 | |
| spec_x = {'levy_l': -0.5, 'pareto': 1.5, 'rv_histogram_instance': 5.0, 'tukeylambda': 0.3, ...} | |
| sv = 0.1911827409537913 | |
| v = array(0.2013794) | |
| x = 0.5 | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/stats/tests/common_tests.py:93: in check_entropy | |
| ent = distfn.entropy(*arg) | |
| arg = (27, 27, 0.41578441799226107) | |
| distfn = <scipy.stats._continuous_distns.ncf_gen object at 0x7f2b4b5dc700> | |
| msg = 'ncf' | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:1255: in entropy | |
| place(output, cond0, self.vecentropy(*goodargs) + log(goodscale)) | |
| args = (array(27), array(27), array(0.41578442)) | |
| cond0 = True | |
| goodargs = [array([27]), array([27]), array([0.41578442])] | |
| goodscale = array([1]) | |
| kwds = {} | |
| loc = array(0) | |
| output = array(0.) | |
| scale = array(1) | |
| self = <scipy.stats._continuous_distns.ncf_gen object at 0x7f2b4b5dc700> | |
| /users/jfg508/scratch/easybuild-dev/software/SciPy-bundle/2022.05-foss-2022a/lib/python3.10/site-packages/numpy/lib/function_base.py:2304: in __call__ | |
| return self._vectorize_call(func=func, args=vargs) | |
| args = (array([27]), array([27]), array([0.41578442])) | |
| excluded = set() | |
| func = <bound method rv_continuous._entropy of <scipy.stats._continuous_distns.ncf_gen object at 0x7f2b4b5dc700>> | |
| kwargs = {} | |
| self = <numpy.vectorize object at 0x7f2b4b5dfe80> | |
| vargs = (array([27]), array([27]), array([0.41578442])) | |
| /users/jfg508/scratch/easybuild-dev/software/SciPy-bundle/2022.05-foss-2022a/lib/python3.10/site-packages/numpy/lib/function_base.py:2387: in _vectorize_call | |
| outputs = ufunc(*inputs) | |
| args = (array([27]), array([27]), array([0.41578442])) | |
| func = <bound method rv_continuous._entropy of <scipy.stats._continuous_distns.ncf_gen object at 0x7f2b4b5dc700>> | |
| inputs = [array([27], dtype=object), array([27], dtype=object), array([0.41578441799226107], dtype=object)] | |
| otypes = 'd' | |
| self = <numpy.vectorize object at 0x7f2b4b5dfe80> | |
| ufunc = <ufunc '_entropy (vectorized)'> | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:2655: in _entropy | |
| h = integrate.quad(integ, _a, _b)[0] | |
| _a = 0.0 | |
| _b = inf | |
| args = (27, 27, 0.41578441799226107) | |
| integ = <function rv_continuous._entropy.<locals>.integ at 0x7f2aadb3d6c0> | |
| self = <scipy.stats._continuous_distns.ncf_gen object at 0x7f2b4b5dc700> | |
| /tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages/scipy/integrate/_quadpack_py.py:400: in quad | |
| warnings.warn(msg, IntegrationWarning, stacklevel=2) | |
| E scipy.integrate._quadpack_py.IntegrationWarning: The occurrence of roundoff error is detected, which prevents | |
| E the requested tolerance from being achieved. The error may be | |
| E underestimated. | |
| a = 0.0 | |
| args = () | |
| b = inf | |
| epsabs = 1.49e-08 | |
| epsrel = 1.49e-08 | |
| flip = False | |
| full_output = 0 | |
| func = <function rv_continuous._entropy.<locals>.integ at 0x7f2aadb3d6c0> | |
| ier = 2 | |
| limit = 50 | |
| limlst = 50 | |
| maxp1 = 50 | |
| msg = 'The occurrence of roundoff error is detected, which prevents \n the requested tolerance from being achieved. The error may be \n underestimated.' | |
| msgs = {80: 'A Python error occurred possibly while calling the function.', 1: 'The maximum number of subdivisions (50) has b...\n underestimated.', 3: 'Extremely bad integrand behavior occurs at some points of the\n integration interval.', ...} | |
| points = None | |
| retval = (nan, nan, 2) | |
| weight = None | |
| wopts = None | |
| wvar = None | |
| ================================================== short test summary info ================================================== | |
| FAILED ../../interpolate/tests/test_interpolate.py::TestPPoly::test_roots - AssertionError: | |
| FAILED ../../linalg/tests/test_solvers.py::test_solve_discrete_are - AssertionError: | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[None-constraints2-<lambda>-kwds0-SLSQP] - AssertionError: | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[None-constraints2-<lambda>-kwds1-SLSQP] - AssertionError: | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[None-constraints2-<lambda>-kwds2-SLSQP] - AssertionError: | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[None-constraints2-Bounds-kwds0-SLSQP] - AssertionError: | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[None-constraints2-Bounds-kwds1-SLSQP] - AssertionError: | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[None-constraints2-Bounds-kwds2-SLSQP] - AssertionError: | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[None-constraints4-<lambda>-kwds0-SLSQP] - AssertionError: | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[None-constraints4-Bounds-kwds0-SLSQP] - AssertionError: | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[callback-constraints2-<lambda>-kwds0-SLSQP] - AssertionErr... | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[callback-constraints2-<lambda>-kwds1-SLSQP] - AssertionErr... | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[callback-constraints2-<lambda>-kwds2-SLSQP] - AssertionErr... | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[callback-constraints2-Bounds-kwds0-SLSQP] - AssertionError: | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[callback-constraints2-Bounds-kwds1-SLSQP] - AssertionError: | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[callback-constraints2-Bounds-kwds2-SLSQP] - AssertionError: | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[callback-constraints4-<lambda>-kwds0-SLSQP] - AssertionErr... | |
| FAILED ../../optimize/tests/test_optimize.py::test_equal_bounds[callback-constraints4-Bounds-kwds0-SLSQP] - AssertionError: | |
| FAILED ../../stats/tests/test_continuous_basic.py::test_cont_basic[500-200-ncf-arg74] - scipy.integrate._quadpack_py.Integ... | |
| =========== 19 failed, 35444 passed, 2752 skipped, 11452 deselected, 108 xfailed, 7 xpassed in 488.18s (0:08:08) ============ | |
| (at easybuild/software/EasyBuild/4.7.0/lib/python3.6/site-packages/easybuild/tools/run.py:643 in parse_cmd_output) | |
| == 2023-01-19 18:55:34,307 build_log.py:267 INFO ... (took 17 mins 52 secs) | |
| == 2023-01-19 18:55:34,313 build_log.py:267 INFO ... (took 25 mins 18 secs) | |
| == 2023-01-19 18:55:34,318 filetools.py:2019 INFO Removing lock /users/jfg508/scratch/easybuild-dev/software/.locks/_users_jfg508_scratch_easybuild-dev_software_SciPy-bundle_2022.05-foss-2022a.lock... | |
| == 2023-01-19 18:55:34,322 filetools.py:384 INFO Path /users/jfg508/scratch/easybuild-dev/software/.locks/_users_jfg508_scratch_easybuild-dev_software_SciPy-bundle_2022.05-foss-2022a.lock successfully removed. | |
| == 2023-01-19 18:55:34,322 filetools.py:2023 INFO Lock removed: /users/jfg508/scratch/easybuild-dev/software/.locks/_users_jfg508_scratch_easybuild-dev_software_SciPy-bundle_2022.05-foss-2022a.lock | |
| == 2023-01-19 18:55:34,323 easyblock.py:4203 WARNING build failed (first 300 chars): cmd "export PYTHONPATH=/tmp/eb-oy9noskz/tmp77xbt5t1/lib/python3.10/site-packages:$PYTHONPATH && cd .. && touch /dev/shm/jfg508/SciPybundle/2022.05/foss-2022a/scipy/scipy-1.8.1/.coveragerc && /opt/apps/easybuild/software/Python/3.10.4-GCCcore-11.3.0/bin/python /dev/shm/jfg508/SciPybundle/2022.05/fos | |
| == 2023-01-19 18:55:34,323 easyblock.py:328 INFO Closing log for application name SciPy-bundle version 2022.05 |
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