[Debian-astro-maintainers] Bug#1027198: einsteinpy: autopkgtest fail with numpy/1.24.1

[s3v]

Control: forwarded -1 https://github.com/einsteinpy/einsteinpy/commit/cffc0cacd053481e56
thanks


Dear Maintainer,

FTBFS is caused by two test failing with numpy 1.24


=================================== FAILURES ===================================
__________________________ test_fractal_shows_figure ___________________________

mock_stdout = <_io.StringIO object at 0x7fc084fb1d80>
mock_show = <MagicMock name='show' id='140464841399824'>

   @mock.patch.object(go.Figure, "show")
   @mock.patch("sys.stdout", new_callable=StringIO)
   def test_fractal_shows_figure(mock_stdout, mock_show):
>       fig = fractal(divs=2, show=True)

einsteinpy/tests/test_plotting/test_fractal.py:12:  
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _  
einsteinpy/plotting/fractal.py:75: in fractal
   go.Heatmap(z=_fractal_img(angle=step, dims=(400, 400)), showscale=False)
einsteinpy/plotting/fractal.py:40: in _fractal_img
   _julia(A, c, zabs_max, i, j, dims, x_range, y_range, iter_max)
einsteinpy/plotting/fractal.py:20: in _julia
   z = np.complex((i / width) * xwidth + xmin + 1j * ((j / height) * ywidth + ymin))
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _  

attr = 'complex'

   def __getattr__(attr):
       # Warn for expired attributes, and return a dummy function
       # that always raises an exception.
       import warnings
       try:
           msg = __expired_functions__[attr]
       except KeyError:
           pass
       else:
           warnings.warn(msg, DeprecationWarning, stacklevel=2)
    
           def _expired(*args, **kwds):
               raise RuntimeError(msg)
    
           return _expired
    
       # Emit warnings for deprecated attributes
       try:
           val, msg = __deprecated_attrs__[attr]
       except KeyError:
           pass
       else:
           warnings.warn(msg, DeprecationWarning, stacklevel=2)
           return val
    
       if attr in __future_scalars__:
           # And future warnings for those that will change, but also give
           # the AttributeError
           warnings.warn(
               f"In the future `np.{attr}` will be defined as the "
               "corresponding NumPy scalar.  (This may have returned Python "
               "scalars in past versions.", FutureWarning, stacklevel=2)
    
       # Importing Tester requires importing all of UnitTest which is not a
       # cheap import Since it is mainly used in test suits, we lazy import it
       # here to save on the order of 10 ms of import time for most users
       #
       # The previous way Tester was imported also had a side effect of adding
       # the full `numpy.testing` namespace
       if attr == 'testing':
           import numpy.testing as testing
           return testing
       elif attr == 'Tester':
           from .testing import Tester
           return Tester
    
>       raise AttributeError("module {!r} has no attribute "
                            "{!r}".format(__name__, attr))
E       AttributeError: module 'numpy' has no attribute 'complex'

/usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
__________________________ test_fractal_draws_figure ___________________________

   def test_fractal_draws_figure():
>       fig = fractal(divs=2, show=False)

einsteinpy/tests/test_plotting/test_fractal.py:18:  
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _  
einsteinpy/plotting/fractal.py:75: in fractal
   go.Heatmap(z=_fractal_img(angle=step, dims=(400, 400)), showscale=False)
einsteinpy/plotting/fractal.py:40: in _fractal_img
   _julia(A, c, zabs_max, i, j, dims, x_range, y_range, iter_max)
einsteinpy/plotting/fractal.py:20: in _julia
   z = np.complex((i / width) * xwidth + xmin + 1j * ((j / height) * ywidth + ymin))
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _  

attr = 'complex'

   def __getattr__(attr):
       # Warn for expired attributes, and return a dummy function
       # that always raises an exception.
       import warnings
       try:
           msg = __expired_functions__[attr]
       except KeyError:
           pass
       else:
           warnings.warn(msg, DeprecationWarning, stacklevel=2)
    
           def _expired(*args, **kwds):
               raise RuntimeError(msg)
    
           return _expired
    
       # Emit warnings for deprecated attributes
       try:
           val, msg = __deprecated_attrs__[attr]
       except KeyError:
           pass
       else:
           warnings.warn(msg, DeprecationWarning, stacklevel=2)
           return val
    
       if attr in __future_scalars__:
           # And future warnings for those that will change, but also give
           # the AttributeError
           warnings.warn(
               f"In the future `np.{attr}` will be defined as the "
               "corresponding NumPy scalar.  (This may have returned Python "
               "scalars in past versions.", FutureWarning, stacklevel=2)
    
       # Importing Tester requires importing all of UnitTest which is not a
       # cheap import Since it is mainly used in test suits, we lazy import it
       # here to save on the order of 10 ms of import time for most users
       #
       # The previous way Tester was imported also had a side effect of adding
       # the full `numpy.testing` namespace
       if attr == 'testing':
           import numpy.testing as testing
           return testing
       elif attr == 'Tester':
           from .testing import Tester
           return Tester
    
>       raise AttributeError("module {!r} has no attribute "
                            "{!r}".format(__name__, attr))
E       AttributeError: module 'numpy' has no attribute 'complex'

/usr/lib/python3/dist-packages/numpy/__init__.py:284: AttributeError
=============================== warnings summary ===============================
../../../../../usr/lib/python3/dist-packages/_pytest/config/__init__.py:1240
 /usr/lib/python3/dist-packages/_pytest/config/__init__.py:1240: PytestRemovedIn8Warning: The --strict option is deprecated, use --strict-markers instead.
   self.issue_config_time_warning(

einsteinpy/ijit.py:30
einsteinpy/ijit.py:30
 /build/einsteinpy-0.3.0/.pybuild/cpython3_3.11_einsteinpy/build/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 boo
st performance.

.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/tests/test_symbolic/test_christoffel.py::test_properties
 /usr/lib/python3/dist-packages/_pytest/python.py:199: PytestReturnNotNoneWarning:
  
 Expected None, but .pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/tests/test_symbolic/test_christoffel.py::test_properties returned True, which will be
an error in a future version of pytest.  Did you mean to use `assert` instead of `return`?

.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/tests/test_symbolic/test_schouten.py::test_SchoutenTensor_with_arbritary_config
 /usr/lib/python3/dist-packages/_pytest/python.py:199: PytestReturnNotNoneWarning:
  
 Expected None, but .pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/tests/test_symbolic/test_schouten.py::test_SchoutenTensor_with_arbritary_config retur
ned True, which will be an error in a future version of pytest.  Did you mean to use `assert` instead of `return`?

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
FAILED einsteinpy/tests/test_plotting/test_fractal.py::test_fractal_shows_figure
FAILED einsteinpy/tests/test_plotting/test_fractal.py::test_fractal_draws_figure
======= 2 failed, 229 passed, 8 xfailed, 5 warnings in 239.87s (0:03:59) =======


This failure was fixed upstream [1]
I can confirm that your package builds fine after applying
aforementioned commit.

Kind Regards

[1] https://github.com/einsteinpy/einsteinpy/commit/cffc0cacd053481e56