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osqp
osqp
unit test failures with scipy 1.12
after updating from scipy 1.11.4 -> 1.12 the following unit tests started failing:
FAILED src/osqp/tests/feasibility_test.py::feasibility_tests::test_feasibility_problem - AssertionError:
FAILED src/osqp/tests/polishing_test.py::polish_tests::test_polish_random - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_solve - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_A - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_A_allind - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_P - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_P_A_allind - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_P_A_indA - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_P_A_indP - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_P_A_indP_indA - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_P_allind - AssertionError:
osqp ver: osqp-0.6.3
- OS: x64 linux & darwin
- osqp version: 0.6.3
- Python version: 3.11.7
- Numpy version: 1.26.2
- Scipy version: 1.12.0
============================= test session starts ==============================
platform linux -- Python 3.11.7, pytest-7.4.3, pluggy-1.3.0
rootdir: /build/osqp-0.6.3
collecting ...
collected 53 items / 1 deselected / 52 selected
src/osqp/tests/basic_test.py ......... [ 17%]
src/osqp/tests/codegen_matrices_test.py ......... [ 34%]
src/osqp/tests/codegen_vectors_test.py ..... [ 44%]
src/osqp/tests/derivative_test.py ..... [ 53%]
src/osqp/tests/dual_infeasibility_test.py ... [ 59%]
src/osqp/tests/feasibility_test.py F [ 61%]
src/osqp/tests/multithread_test.py X [ 63%]
src/osqp/tests/non_convex_test.py ... [ 69%]
src/osqp/tests/polishing_test.py F.. [ 75%]
src/osqp/tests/primal_infeasibility_test.py .. [ 78%]
src/osqp/tests/unconstrained_test.py . [ 80%]
src/osqp/tests/update_matrices_test.py FFFFFFFFF [ 98%]
src/osqp/tests/warm_start_test.py . [100%]
=================================== FAILURES ===================================
__________________ feasibility_tests.test_feasibility_problem __________________
self = <feasibility_test.feasibility_tests testMethod=test_feasibility_problem>
def test_feasibility_problem(self):
# Solve problem
res = self.model.solve()
x_sol, y_sol, obj_sol = load_high_accuracy('test_feasibility_problem')
# Assert close
> nptest.assert_allclose(res.x, x_sol, rtol=rel_tol, atol=abs_tol)
src/osqp/tests/feasibility_test.py:53:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<function assert_allclose.<locals>.compare at 0x7ffeef7d9bc0>, array([ 7.38503818, -1.16755089, 7.20693261, -11.8...00419, -0.24932451, 0.09298623, 1.88381076,
0.77536814, -1.35971433, 0.51511176, 0.03317466, 0.90226419]))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=0.001, atol=0.0001', 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
E AssertionError:
E Not equal to tolerance rtol=0.001, atol=0.0001
E
E Mismatched elements: 30 / 30 (100%)
E Max absolute difference: 13.77219243
E Max relative difference: 178.92598962
E x: array([ 7.385038, -1.167551, 7.206933, -11.890199, 10.154595,
E 9.031657, 5.786759, -2.105805, 1.580099, -5.718941,
E -3.019632, -3.17126 , -4.376148, 4.125822, 6.067872,...
E y: array([-0.065607, 1.041944, 0.475696, -1.640367, -0.341802, -0.816963,
E -1.063892, 0.449446, -0.448297, -1.012899, -0.125137, 0.022673,
E -1.152065, 1.068174, 1.181433, 0.016903, -0.113736, -0.481158,...
/nix/store/w4fvvhkzb0ssv0fw5j34pw09f0qw84w8-python3-3.11.7/lib/python3.11/contextlib.py:81: AssertionError
_______________________ polish_tests.test_polish_random ________________________
self = <polishing_test.polish_tests testMethod=test_polish_random>
def test_polish_random(self):
# Random QP problem
np.random.seed(6)
self.n = 30
self.m = 50
Pt = sparse.random(self.n, self.n)
self.P = Pt.T @ Pt
self.q = np.random.randn(self.n)
self.A = sparse.csc_matrix(np.random.randn(self.m, self.n))
self.l = -3 + np.random.randn(self.m)
self.u = 3 + np.random.randn(self.m)
self.model = osqp.OSQP()
self.model.setup(P=self.P, q=self.q, A=self.A, l=self.l, u=self.u,
**self.opts)
# Solve problem
res = self.model.solve()
x_sol, y_sol, obj_sol = load_high_accuracy('test_polish_random')
# Assert close
> nptest.assert_allclose(res.x, x_sol, rtol=rel_tol, atol=abs_tol)
src/osqp/tests/polishing_test.py:102:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<function assert_allclose.<locals>.compare at 0x7ffeef824220>, array([-0.33928551, 1.22173413, 1.99670482, 0.11439...20065, -0.04429633, 0.22028553, -0.68062176,
-0.29768674, -0.13606601, -1.72218288, -0.28526776, -1.63646354]))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=0.001, atol=0.0001', 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
E AssertionError:
E Not equal to tolerance rtol=0.001, atol=0.0001
E
E Mismatched elements: 30 / 30 (100%)
E Max absolute difference: 0.44324493
E Max relative difference: 2.02836611
E x: array([-0.339286, 1.221734, 1.996705, 0.114392, -0.323922, -1.13404 ,
E -0.588208, -0.874406, -0.238946, -1.497542, 1.307998, 0.396591,
E 0.051902, 0.436867, -1.292508, -1.3938 , 0.905232, 0.580278,...
E y: array([-0.204153, 0.778489, 1.865204, 0.053585, -0.106963, -1.084764,
E -0.604399, -0.872545, -0.18715 , -1.331034, 1.40831 , 0.231447,
E 0.16981 , 0.493664, -0.949915, -1.434412, 0.775493, 0.567979,...
/nix/store/w4fvvhkzb0ssv0fw5j34pw09f0qw84w8-python3-3.11.7/lib/python3.11/contextlib.py:81: AssertionError
_______________________ update_matrices_tests.test_solve _______________________
self = <update_matrices_test.update_matrices_tests testMethod=test_solve>
def test_solve(self):
# Solve problem
res = self.model.solve()
# Assert close
x_sol, y_sol, obj_sol = load_high_accuracy('test_solve')
# Assert close
> nptest.assert_allclose(res.x, x_sol, rtol=rel_tol, atol=abs_tol)
src/osqp/tests/update_matrices_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<function assert_allclose.<locals>.compare at 0x7ffeef824680>, array([-0.61745594, -0.38821899, 0.33447478, 1.10402215, 0.40538296]), array([-1.13563585, -0.47121151, 0.21494689, 1.30733876, 0.17662222]))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=0.001, atol=0.0001', 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
E AssertionError:
E Not equal to tolerance rtol=0.001, atol=0.0001
E
E Mismatched elements: 5 / 5 (100%)
E Max absolute difference: 0.51817991
E Max relative difference: 1.29519792
E x: array([-0.617456, -0.388219, 0.334475, 1.104022, 0.405383])
E y: array([-1.135636, -0.471212, 0.214947, 1.307339, 0.176622])
/nix/store/w4fvvhkzb0ssv0fw5j34pw09f0qw84w8-python3-3.11.7/lib/python3.11/contextlib.py:81: AssertionError
_____________________ update_matrices_tests.test_update_A ______________________
self = <update_matrices_test.update_matrices_tests testMethod=test_update_A>
def test_update_A(self):
# Update matrix A
Ax = self.A_new.data
Ax_idx = np.arange(self.A_new.nnz)
self.model.update(Ax=Ax, Ax_idx=Ax_idx)
res = self.model.solve()
x_sol, y_sol, obj_sol = load_high_accuracy('test_update_A')
# Assert close
> nptest.assert_allclose(res.x, x_sol, rtol=rel_tol, atol=abs_tol)
src/osqp/tests/update_matrices_test.py:91:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<function assert_allclose.<locals>.compare at 0x7ffeef824180>, array([-2.28663542e-14, -2.23960750e-14, 1.67048575e-14, 1.69612955e-14,
6.76114695e-15]), array([-0.12843679, 0.20039154, 0.01927954, 0.12335483, 0.06508457]))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=0.001, atol=0.0001', 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
E AssertionError:
E Not equal to tolerance rtol=0.001, atol=0.0001
E
E Mismatched elements: 5 / 5 (100%)
E Max absolute difference: 0.20039154
E Max relative difference: 1.
E x: array([-2.286635e-14, -2.239607e-14, 1.670486e-14, 1.696130e-14,
E 6.761147e-15])
E y: array([-0.128437, 0.200392, 0.01928 , 0.123355, 0.065085])
/nix/store/w4fvvhkzb0ssv0fw5j34pw09f0qw84w8-python3-3.11.7/lib/python3.11/contextlib.py:81: AssertionError
__________________ update_matrices_tests.test_update_A_allind __________________
self = <update_matrices_test.update_matrices_tests testMethod=test_update_A_allind>
def test_update_A_allind(self):
# Update matrix A
Ax = self.A_new.data
self.model.update(Ax=Ax)
res = self.model.solve()
x_sol, y_sol, obj_sol = load_high_accuracy('test_update_A_allind')
# Assert close
> nptest.assert_allclose(res.x, x_sol, rtol=rel_tol, atol=abs_tol)
src/osqp/tests/update_matrices_test.py:104:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<function assert_allclose.<locals>.compare at 0x7ffeef824ae0>, array([-2.28663542e-14, -2.23960750e-14, 1.67048575e-14, 1.69612955e-14,
6.76114695e-15]), array([-0.12843679, 0.20039154, 0.01927954, 0.12335483, 0.06508457]))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=0.001, atol=0.0001', 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
E AssertionError:
E Not equal to tolerance rtol=0.001, atol=0.0001
E
E Mismatched elements: 5 / 5 (100%)
E Max absolute difference: 0.20039154
E Max relative difference: 1.
E x: array([-2.286635e-14, -2.239607e-14, 1.670486e-14, 1.696130e-14,
E 6.761147e-15])
E y: array([-0.128437, 0.200392, 0.01928 , 0.123355, 0.065085])
/nix/store/w4fvvhkzb0ssv0fw5j34pw09f0qw84w8-python3-3.11.7/lib/python3.11/contextlib.py:81: AssertionError
_____________________ update_matrices_tests.test_update_P ______________________
self = <update_matrices_test.update_matrices_tests testMethod=test_update_P>
def test_update_P(self):
# Update matrix P
Px = self.P_triu_new.data
Px_idx = np.arange(self.P_triu_new.nnz)
self.model.update(Px=Px, Px_idx=Px_idx)
res = self.model.solve()
x_sol, y_sol, obj_sol = load_high_accuracy('test_update_P')
# Assert close
> nptest.assert_allclose(res.x, x_sol, rtol=rel_tol, atol=abs_tol)
src/osqp/tests/update_matrices_test.py:64:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<function assert_allclose.<locals>.compare at 0x7ffeef825a80>, array([-0.59351793, -0.39109571, 0.33220345, 1.06127765, 0.38966674]), array([-1.2433707 , -0.52574578, 0.24711454, 1.42959688, 0.19172216]))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=0.001, atol=0.0001', 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
E AssertionError:
E Not equal to tolerance rtol=0.001, atol=0.0001
E
E Mismatched elements: 5 / 5 (100%)
E Max absolute difference: 0.64985277
E Max relative difference: 1.0324554
E x: array([-0.593518, -0.391096, 0.332203, 1.061278, 0.389667])
E y: array([-1.243371, -0.525746, 0.247115, 1.429597, 0.191722])
/nix/store/w4fvvhkzb0ssv0fw5j34pw09f0qw84w8-python3-3.11.7/lib/python3.11/contextlib.py:81: AssertionError
_________________ update_matrices_tests.test_update_P_A_allind _________________
self = <update_matrices_test.update_matrices_tests testMethod=test_update_P_A_allind>
def test_update_P_A_allind(self):
# Update matrices P and A
Px = self.P_triu_new.data
Ax = self.A_new.data
self.model.update(Px=Px, Ax=Ax)
res = self.model.solve()
x_sol, y_sol, obj_sol = load_high_accuracy('test_update_P_A_allind')
# Assert close
> nptest.assert_allclose(res.x, x_sol, rtol=rel_tol, atol=abs_tol)
src/osqp/tests/update_matrices_test.py:164:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<function assert_allclose.<locals>.compare at 0x7ffeef824a40>, array([-1.13845962e-10, -2.03426103e-10, 1.24972816e-10, 4.78264749e-11,
2.91317561e-11]), array([-0.15082369, 0.23532037, 0.02264002, 0.14485597, 0.076429 ]))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=0.001, atol=0.0001', 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
E AssertionError:
E Not equal to tolerance rtol=0.001, atol=0.0001
E
E Mismatched elements: 5 / 5 (100%)
E Max absolute difference: 0.23532037
E Max relative difference: 1.
E x: array([-1.138460e-10, -2.034261e-10, 1.249728e-10, 4.782647e-11,
E 2.913176e-11])
E y: array([-0.150824, 0.23532 , 0.02264 , 0.144856, 0.076429])
/nix/store/w4fvvhkzb0ssv0fw5j34pw09f0qw84w8-python3-3.11.7/lib/python3.11/contextlib.py:81: AssertionError
__________________ update_matrices_tests.test_update_P_A_indA __________________
self = <update_matrices_test.update_matrices_tests testMethod=test_update_P_A_indA>
def test_update_P_A_indA(self):
# Update matrices P and A
Px = self.P_triu_new.data
Ax = self.A_new.data
Ax_idx = np.arange(self.A_new.nnz)
self.model.update(Px=Px, Ax=Ax, Ax_idx=Ax_idx)
res = self.model.solve()
x_sol, y_sol, obj_sol = load_high_accuracy('test_update_P_A_indA')
# Assert close
> nptest.assert_allclose(res.x, x_sol, rtol=rel_tol, atol=abs_tol)
src/osqp/tests/update_matrices_test.py:150:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<function assert_allclose.<locals>.compare at 0x7ffeef826160>, array([-1.13845962e-10, -2.03426103e-10, 1.24972816e-10, 4.78264749e-11,
2.91317561e-11]), array([-0.15082369, 0.23532037, 0.02264002, 0.14485597, 0.076429 ]))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=0.001, atol=0.0001', 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
E AssertionError:
E Not equal to tolerance rtol=0.001, atol=0.0001
E
E Mismatched elements: 5 / 5 (100%)
E Max absolute difference: 0.23532037
E Max relative difference: 1.
E x: array([-1.138460e-10, -2.034261e-10, 1.249728e-10, 4.782647e-11,
E 2.913176e-11])
E y: array([-0.150824, 0.23532 , 0.02264 , 0.144856, 0.076429])
/nix/store/w4fvvhkzb0ssv0fw5j34pw09f0qw84w8-python3-3.11.7/lib/python3.11/contextlib.py:81: AssertionError
__________________ update_matrices_tests.test_update_P_A_indP __________________
self = <update_matrices_test.update_matrices_tests testMethod=test_update_P_A_indP>
def test_update_P_A_indP(self):
# Update matrices P and A
Px = self.P_triu_new.data
Px_idx = np.arange(self.P_triu_new.nnz)
Ax = self.A_new.data
self.model.update(Px=Px, Px_idx=Px_idx, Ax=Ax)
res = self.model.solve()
x_sol, y_sol, obj_sol = load_high_accuracy('test_update_P_A_indP')
# Assert close
> nptest.assert_allclose(res.x, x_sol, rtol=rel_tol, atol=abs_tol)
src/osqp/tests/update_matrices_test.py:135:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<function assert_allclose.<locals>.compare at 0x7ffeef825d00>, array([-1.13845962e-10, -2.03426103e-10, 1.24972816e-10, 4.78264749e-11,
2.91317561e-11]), array([-0.15082369, 0.23532037, 0.02264002, 0.14485597, 0.076429 ]))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=0.001, atol=0.0001', 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
E AssertionError:
E Not equal to tolerance rtol=0.001, atol=0.0001
E
E Mismatched elements: 5 / 5 (100%)
E Max absolute difference: 0.23532037
E Max relative difference: 1.
E x: array([-1.138460e-10, -2.034261e-10, 1.249728e-10, 4.782647e-11,
E 2.913176e-11])
E y: array([-0.150824, 0.23532 , 0.02264 , 0.144856, 0.076429])
/nix/store/w4fvvhkzb0ssv0fw5j34pw09f0qw84w8-python3-3.11.7/lib/python3.11/contextlib.py:81: AssertionError
_______________ update_matrices_tests.test_update_P_A_indP_indA ________________
self = <update_matrices_test.update_matrices_tests testMethod=test_update_P_A_indP_indA>
def test_update_P_A_indP_indA(self):
# Update matrices P and A
Px = self.P_triu_new.data
Px_idx = np.arange(self.P_triu_new.nnz)
Ax = self.A_new.data
Ax_idx = np.arange(self.A_new.nnz)
self.model.update(Px=Px, Px_idx=Px_idx, Ax=Ax, Ax_idx=Ax_idx)
res = self.model.solve()
x_sol, y_sol, obj_sol = load_high_accuracy('test_update_P_A_indP_indA')
# Assert close
> nptest.assert_allclose(res.x, x_sol, rtol=rel_tol, atol=abs_tol)
src/osqp/tests/update_matrices_test.py:120:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<function assert_allclose.<locals>.compare at 0x7ffeef8259e0>, array([-1.13845962e-10, -2.03426103e-10, 1.24972816e-10, 4.78264749e-11,
2.91317561e-11]), array([-0.15082369, 0.23532037, 0.02264002, 0.14485597, 0.076429 ]))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=0.001, atol=0.0001', 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
E AssertionError:
E Not equal to tolerance rtol=0.001, atol=0.0001
E
E Mismatched elements: 5 / 5 (100%)
E Max absolute difference: 0.23532037
E Max relative difference: 1.
E x: array([-1.138460e-10, -2.034261e-10, 1.249728e-10, 4.782647e-11,
E 2.913176e-11])
E y: array([-0.150824, 0.23532 , 0.02264 , 0.144856, 0.076429])
/nix/store/w4fvvhkzb0ssv0fw5j34pw09f0qw84w8-python3-3.11.7/lib/python3.11/contextlib.py:81: AssertionError
__________________ update_matrices_tests.test_update_P_allind __________________
self = <update_matrices_test.update_matrices_tests testMethod=test_update_P_allind>
def test_update_P_allind(self):
# Update matrix P
Px = self.P_triu_new.data
self.model.update(Px=Px)
res = self.model.solve()
x_sol, y_sol, obj_sol = load_high_accuracy('test_update_P_allind')
# Assert close
> nptest.assert_allclose(res.x, x_sol, rtol=rel_tol, atol=abs_tol)
src/osqp/tests/update_matrices_test.py:77:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
args = (<function assert_allclose.<locals>.compare at 0x7ffeef826ac0>, array([-0.59351793, -0.39109571, 0.33220345, 1.06127765, 0.38966674]), array([-1.2433707 , -0.52574578, 0.24711454, 1.42959688, 0.19172216]))
kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=0.001, atol=0.0001', 'verbose': True}
@wraps(func)
def inner(*args, **kwds):
with self._recreate_cm():
> return func(*args, **kwds)
E AssertionError:
E Not equal to tolerance rtol=0.001, atol=0.0001
E
E Mismatched elements: 5 / 5 (100%)
E Max absolute difference: 0.64985277
E Max relative difference: 1.0324554
E x: array([-0.593518, -0.391096, 0.332203, 1.061278, 0.389667])
E y: array([-1.243371, -0.525746, 0.247115, 1.429597, 0.191722])
/nix/store/w4fvvhkzb0ssv0fw5j34pw09f0qw84w8-python3-3.11.7/lib/python3.11/contextlib.py:81: AssertionError
=============================== warnings summary ===============================
src/osqp/tests/polishing_test.py::polish_tests::test_polish_random
/nix/store/1wahz85vkm7q2lpiyhmp20wamkwc9dj3-python3.11-osqp-0.6.3/lib/python3.11/site-packages/osqp/utils.py:118: UserWarning: Converting sparse P to a CSC (compressed sparse column) matrix. (It may take a while...)
warn("Converting sparse P to a CSC " +
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
FAILED src/osqp/tests/feasibility_test.py::feasibility_tests::test_feasibility_problem - AssertionError:
FAILED src/osqp/tests/polishing_test.py::polish_tests::test_polish_random - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_solve - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_A - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_A_allind - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_P - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_P_A_allind - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_P_A_indA - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_P_A_indP - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_P_A_indP_indA - AssertionError:
FAILED src/osqp/tests/update_matrices_test.py::update_matrices_tests::test_update_P_allind - AssertionError:
====== 11 failed, 40 passed, 1 deselected, 1 xpassed, 1 warning in 19.53s ======
/nix/store/bknngadwym46j65qs14ic2w79rpav888-stdenv-linux/setup: line 1582: pop_var_context: head of shell_variables not a function context
Looks like scipy 1.12 is producing transpose of the arrays it was previously producing with the same random seed, even though its supposedly producing the same type of matrix (coo)
$ pip install "scipy<1.12"
Successfully installed scipy-1.11.4
$ python -c "from scipy import sparse; x = sparse.random(3, 3, density=0.7, random_state=1); print(type(x)); print(x)"
<class 'scipy.sparse._coo.coo_matrix'>
(2, 2) 0.23608897695197606
(2, 0) 0.3965807272960261
(0, 2) 0.3879107411620074
(1, 2) 0.66974603680348
(1, 0) 0.9355390708060318
(0, 0) 0.8463109166860171
$ pip install scipy --upgrade
Successfully installed scipy-1.12.0
$ python -c "from scipy import sparse; x = sparse.random(3, 3, density=0.7, random_state=1); print(type(x)); print(x)"
<class 'scipy.sparse._coo.coo_matrix'>
(2, 2) 0.23608897695197606
(0, 2) 0.3965807272960261
(2, 0) 0.3879107411620074
(2, 1) 0.66974603680348
(0, 1) 0.9355390708060318
(0, 0) 0.8463109166860171
So our unit tests need to be tweaked to take care of whatever happened with scipy here.
