Bug#1010215: sympy breaks einsteinpy autopkgtest: name 'numpy' is not defined

[Paul Gevers]

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-ci at 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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