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