Your message dated Fri, 6 May 2022 17:59:47 +0200
with message-id <ynvf85uy7k0kf...@georges.khaznadar.fr>
and subject line The new NMUed release is uploaded ...
has caused the Debian Bug report #1010215,
regarding sympy breaks einsteinpy autopkgtest: name 'numpy' is not defined
to be marked as done.
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If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.
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1010215: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1010215
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--- Begin Message ---
Source: sympy, einsteinpy
Control: found -1 sympy/1.10.1-1
Control: found -1 einsteinpy/0.3.0-2
Severity: serious
Tags: sid bookworm
User: debian...@lists.debian.org
Usertags: breaks needs-update
Dear maintainer(s),
With a recent upload of sympy the autopkgtest of einsteinpy fails in
testing when that autopkgtest is run with the binary packages of sympy
from unstable. It passes when run with only packages from testing. In
tabular form:
pass fail
sympy from testing 1.10.1-1
einsteinpy from testing 0.3.0-2
all others from testing from testing
I copied some of the output at the bottom of this report.
Currently this regression is blocking the migration of sympy to testing
[1]. Due to the nature of this issue, I filed this bug report against
both packages. Can you please investigate the situation and reassign the
bug to the right package?
More information about this bug and the reason for filing it can be found on
https://wiki.debian.org/ContinuousIntegration/RegressionEmailInformation
Paul
[1] https://qa.debian.org/excuses.php?package=sympy
https://ci.debian.net/data/autopkgtest/testing/amd64/e/einsteinpy/21184013/log.gz
=================================== FAILURES
===================================
___________________________ test_lambdify_with_args
____________________________
def test_lambdify_with_args():
x, y = symbols("x y")
T = BaseRelativityTensor([x + y, x], (x, y), config="l")
args, f = T.tensor_lambdify(y, x)
arr = np.array(f(2, 1))
/usr/lib/python3/dist-packages/einsteinpy/tests/test_symbolic/test_tensor.py:251:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
_ _ _ _
y = 2, x = 1
def _lambdifygenerated(y, x):
return numpy.array((x + y, x))
E NameError: name 'numpy' is not defined
<lambdifygenerated-2>:2: NameError
=============================== warnings summary
===============================
../../../../usr/lib/python3/dist-packages/einsteinpy/ijit.py:30
../../../../usr/lib/python3/dist-packages/einsteinpy/ijit.py:30
/usr/lib/python3/dist-packages/einsteinpy/ijit.py:30: UserWarning:
Could not import numba package. All einsteinpy functions will work
properly but the CPU intensive algorithms will be slow. Consider
installing numba to boost performance.
tests/test_plotting/test_fractal.py: 640000 warnings
/usr/lib/python3/dist-packages/einsteinpy/plotting/fractal.py:20:
DeprecationWarning:
`np.complex` is a deprecated alias for the builtin `complex`. To
silence this warning, use `complex` by itself. Doing this will not
modify any behavior and is safe. If you specifically wanted the numpy
scalar type, use `np.complex128` here.
Deprecated in NumPy 1.20; for more details and guidance:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
-- Docs: https://docs.pytest.org/en/stable/warnings.html
=========================== short test summary info
============================
FAILED tests/test_symbolic/test_tensor.py::test_lambdify_with_args -
NameErro...
==== 1 failed, 230 passed, 8 xfailed, 640002 warnings in 322.36s
(0:05:22) =====
autopkgtest [12:16:46]: test command1
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--- End Message ---
--- Begin Message ---
and sucessfully passes the tests.
--
Georges KHAZNADAR et Jocelyne FOURNIER
22 rue des mouettes, 59240 Dunkerque France.
Téléphone +33 (0)3 28 29 17 70
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