We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
unit test test_dqd_current fails on aarch64 linux
the unit test
=================================== FAILURES =================================== _______________________________ test_dqd_current _______________________________ def test_dqd_current(): "Counting statistics: current and current noise in a DQD model" G = 0 L = 1 R = 2 sz = qutip.projection(3, L, L) - qutip.projection(3, R, R) sx = qutip.projection(3, L, R) + qutip.projection(3, R, L) sR = qutip.projection(3, G, R) sL = qutip.projection(3, G, L) w0 = 1 tc = 0.6 * w0 GammaR = 0.0075 * w0 GammaL = 0.0075 * w0 nth = 0.00 eps_vec = np.linspace(-1.5*w0, 1.5*w0, 20) J_ops = [GammaR * qutip.sprepost(sR, sR.dag())] c_ops = [np.sqrt(GammaR * (1 + nth)) * sR, np.sqrt(GammaR * (nth)) * sR.dag(), np.sqrt(GammaL * (nth)) * sL, np.sqrt(GammaL * (1 + nth)) * sL.dag()] current = np.zeros(len(eps_vec)) noise = np.zeros(len(eps_vec)) for n, eps in enumerate(eps_vec): H = (eps/2 * sz + tc * sx) L = qutip.liouvillian(H, c_ops) rhoss = qutip.steadystate(L) c_, n_ = qutip.countstat_current_noise(L, [], rhoss=rhoss, J_ops=J_ops) current[n] = c_[0] noise[n] = n_[0, 0, 0] current2 = qutip.countstat_current(L, rhoss=rhoss, J_ops=J_ops) assert abs(current[n] - current2) < 1e-8 current2 = qutip.countstat_current(L, c_ops, J_ops=J_ops) assert abs(current[n] - current2) < 1e-8 current_target = (tc**2 * GammaR / (tc**2 * (2+GammaR/GammaL) + GammaR**2/4 + eps_vec**2)) noise_target = current_target * ( 1 - (8*GammaL*tc**2*(4 * eps_vec**2 * (GammaR - GammaL) + GammaR*(3*GammaL*GammaR + GammaR**2 + 8*tc**2)) / (4*tc**2*(2*GammaL + GammaR) + GammaL*GammaR**2 + 4*eps_vec**2*GammaL)**2) ) np.testing.assert_allclose(current, current_target, atol=1e-4) > np.testing.assert_allclose(noise, noise_target, atol=1e-4) /nix/store/7v2yn16c9sr8ysdpan9yd2a60a1sizv7-python3.11-qutip-4.7.5/lib/python3.11/site-packages/qutip/tests/test_countstat.py:58: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ args = (<function assert_allclose.<locals>.compare at 0xfffeb718f880>, array([0.0007729 , 0.00087857, 0.00099616, 0.00112145,...9, 0.00142197, 0.00144314, 0.00142247, 0.00135199, 0.0012452 , 0.00112145, 0.00099616, 0.00087857, 0.0007729 ])) kwds = {'equal_nan': True, 'err_msg': '', 'header': 'Not equal to tolerance rtol=1e-07, 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=1e-07, atol=0.0001 E E Mismatched elements: 1 / 20 (5%) E Max absolute difference: 0.00035163 E Max relative difference: 0.26008554 E x: array([0.000773, 0.000879, 0.000996, 0.001121, 0.001245, 0.001352, E 0.001422, 0.001443, 0.001422, 0.001393, 0.001393, 0.001422, E 0.001443, 0.001422, 0.001704, 0.001245, 0.001121, 0.000996, E 0.000879, 0.000773]) E y: array([0.000773, 0.000879, 0.000996, 0.001121, 0.001245, 0.001352, E 0.001422, 0.001443, 0.001422, 0.001393, 0.001393, 0.001422, E 0.001443, 0.001422, 0.001352, 0.001245, 0.001121, 0.000996, E 0.000879, 0.000773]) /nix/store/dz8lm4h0ivibad5kfc0ya3p3zqyd2fyf-python3-3.11.7/lib/python3.11/contextlib.py:81: AssertionError =========================== short test summary info ============================ FAILED ../tests/test_countstat.py::test_dqd_current - AssertionError:
unit test succeeds
QuTiP Version: 4.7.5 Numpy Version: 1.26.2 Scipy Version: 1.12.0 Cython Version: 0.29.36 Matplotlib Version: 3.8.2 Python Version: 3.11.7 Number of CPUs: 80 BLAS Info: Generic OPENMP Installed: True INTEL MKL Ext: False Platform Info: Linux (aarch64)
No response
The text was updated successfully, but these errors were encountered:
Thank you for reporting.
However I am unable to reproduce it (on ubuntu, same scipy, numpy, cython, python3.11.5). So I can't tell what went wrong or how to solve it...
Sorry, something went wrong.
on aarch64 linux? same test passes on x64 linux and x64 / aarch64 darwin.
On x64, I had arch Linux in mind...
I don't have a setup to test on aarch64, nor ever tried to emulate it. It may take some time.
No branches or pull requests
Bug Description
unit test test_dqd_current fails on aarch64 linux
Code to Reproduce the Bug
the unit test
Code Output
Expected Behaviour
unit test succeeds
Your Environment
Additional Context
No response
The text was updated successfully, but these errors were encountered: