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Red Hat Bugzilla – Attachment 1978285 Details for
Bug 2225951
scipy: FTBFS in Fedora rawhide/f39
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build.log
build.log (text/plain), 32.00 KB, created by
Fedora Release Engineering
on 2023-07-25 18:17:48 UTC
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build.log
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Fedora Release Engineering
Created:
2023-07-25 18:17:48 UTC
Size:
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patch
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[ 99%] >.....................s. [100%] >=================================== FAILURES =================================== >____________________________ TestQuad.test_complex _____________________________ >[gw2] linux -- Python 3.12.0 /usr/bin/python3 >actual = (271.4823113796459+4.827353117680502e-15j) >desired = (271.4822820782857+4.827353117680502e-15j), err_msg = '' >verbose = True > def assert_equal(actual, desired, err_msg='', verbose=True): > """ > Raises an AssertionError if two objects are not equal. > > Given two objects (scalars, lists, tuples, dictionaries or numpy arrays), > check that all elements of these objects are equal. An exception is raised > at the first conflicting values. > > When one of `actual` and `desired` is a scalar and the other is array_like, > the function checks that each element of the array_like object is equal to > the scalar. > > This function handles NaN comparisons as if NaN was a "normal" number. > That is, AssertionError is not raised if both objects have NaNs in the same > positions. This is in contrast to the IEEE standard on NaNs, which says > that NaN compared to anything must return False. > > Parameters > ---------- > actual : array_like > The object to check. > desired : array_like > The expected object. > err_msg : str, optional > The error message to be printed in case of failure. > verbose : bool, optional > If True, the conflicting values are appended to the error message. > > Raises > ------ > AssertionError > If actual and desired are not equal. > > Examples > -------- > >>> np.testing.assert_equal([4,5], [4,6]) > Traceback (most recent call last): > ... > AssertionError: > Items are not equal: > item=1 > ACTUAL: 5 > DESIRED: 6 > > The following comparison does not raise an exception. There are NaNs > in the inputs, but they are in the same positions. > > >>> np.testing.assert_equal(np.array([1.0, 2.0, np.nan]), [1, 2, np.nan]) > > """ > __tracebackhide__ = True # Hide traceback for py.test > if isinstance(desired, dict): > if not isinstance(actual, dict): > raise AssertionError(repr(type(actual))) > assert_equal(len(actual), len(desired), err_msg, verbose) > for k, i in desired.items(): > if k not in actual: > raise AssertionError(repr(k)) > assert_equal(actual[k], desired[k], f'key={k!r}\n{err_msg}', > verbose) > return > if isinstance(desired, (list, tuple)) and isinstance(actual, (list, tuple)): > assert_equal(len(actual), len(desired), err_msg, verbose) > for k in range(len(desired)): > assert_equal(actual[k], desired[k], f'item={k!r}\n{err_msg}', > verbose) > return > from numpy.core import ndarray, isscalar, signbit > from numpy.lib import iscomplexobj, real, imag > if isinstance(actual, ndarray) or isinstance(desired, ndarray): > return assert_array_equal(actual, desired, err_msg, verbose) > msg = build_err_msg([actual, desired], err_msg, verbose=verbose) > > # Handle complex numbers: separate into real/imag to handle > # nan/inf/negative zero correctly > # XXX: catch ValueError for subclasses of ndarray where iscomplex fail > try: > usecomplex = iscomplexobj(actual) or iscomplexobj(desired) > except (ValueError, TypeError): > usecomplex = False > > if usecomplex: > if iscomplexobj(actual): > actualr = real(actual) > actuali = imag(actual) > else: > actualr = actual > actuali = 0 > if iscomplexobj(desired): > desiredr = real(desired) > desiredi = imag(desired) > else: > desiredr = desired > desiredi = 0 > try: >> assert_equal(actualr, desiredr) >/usr/lib/python3.12/site-packages/numpy/testing/_private/utils.py:374: >_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ >actual = 271.4823113796459, desired = 271.4822820782857, err_msg = '' >verbose = True > def assert_equal(actual, desired, err_msg='', verbose=True): > """ > Raises an AssertionError if two objects are not equal. > > Given two objects (scalars, lists, tuples, dictionaries or numpy arrays), > check that all elements of these objects are equal. An exception is raised > at the first conflicting values. > > When one of `actual` and `desired` is a scalar and the other is array_like, > the function checks that each element of the array_like object is equal to > the scalar. > > This function handles NaN comparisons as if NaN was a "normal" number. > That is, AssertionError is not raised if both objects have NaNs in the same > positions. This is in contrast to the IEEE standard on NaNs, which says > that NaN compared to anything must return False. > > Parameters > ---------- > actual : array_like > The object to check. > desired : array_like > The expected object. > err_msg : str, optional > The error message to be printed in case of failure. > verbose : bool, optional > If True, the conflicting values are appended to the error message. > > Raises > ------ > AssertionError > If actual and desired are not equal. > > Examples > -------- > >>> np.testing.assert_equal([4,5], [4,6]) > Traceback (most recent call last): > ... > AssertionError: > Items are not equal: > item=1 > ACTUAL: 5 > DESIRED: 6 > > The following comparison does not raise an exception. There are NaNs > in the inputs, but they are in the same positions. > > >>> np.testing.assert_equal(np.array([1.0, 2.0, np.nan]), [1, 2, np.nan]) > > """ > __tracebackhide__ = True # Hide traceback for py.test > if isinstance(desired, dict): > if not isinstance(actual, dict): > raise AssertionError(repr(type(actual))) > assert_equal(len(actual), len(desired), err_msg, verbose) > for k, i in desired.items(): > if k not in actual: > raise AssertionError(repr(k)) > assert_equal(actual[k], desired[k], f'key={k!r}\n{err_msg}', > verbose) > return > if isinstance(desired, (list, tuple)) and isinstance(actual, (list, tuple)): > assert_equal(len(actual), len(desired), err_msg, verbose) > for k in range(len(desired)): > assert_equal(actual[k], desired[k], f'item={k!r}\n{err_msg}', > verbose) > return > from numpy.core import ndarray, isscalar, signbit > from numpy.lib import iscomplexobj, real, imag > if isinstance(actual, ndarray) or isinstance(desired, ndarray): > return assert_array_equal(actual, desired, err_msg, verbose) > msg = build_err_msg([actual, desired], err_msg, verbose=verbose) > > # Handle complex numbers: separate into real/imag to handle > # nan/inf/negative zero correctly > # XXX: catch ValueError for subclasses of ndarray where iscomplex fail > try: > usecomplex = iscomplexobj(actual) or iscomplexobj(desired) > except (ValueError, TypeError): > usecomplex = False > > if usecomplex: > if iscomplexobj(actual): > actualr = real(actual) > actuali = imag(actual) > else: > actualr = actual > actuali = 0 > if iscomplexobj(desired): > desiredr = real(desired) > desiredi = imag(desired) > else: > desiredr = desired > desiredi = 0 > try: > assert_equal(actualr, desiredr) > assert_equal(actuali, desiredi) > except AssertionError: > raise AssertionError(msg) > > # isscalar test to check cases such as [np.nan] != np.nan > if isscalar(desired) != isscalar(actual): > raise AssertionError(msg) > > try: > isdesnat = isnat(desired) > isactnat = isnat(actual) > dtypes_match = (np.asarray(desired).dtype.type == > np.asarray(actual).dtype.type) > if isdesnat and isactnat: > # If both are NaT (and have the same dtype -- datetime or > # timedelta) they are considered equal. > if dtypes_match: > return > else: > raise AssertionError(msg) > > except (TypeError, ValueError, NotImplementedError): > pass > > # Inf/nan/negative zero handling > try: > isdesnan = gisnan(desired) > isactnan = gisnan(actual) > if isdesnan and isactnan: > return # both nan, so equal > > # handle signed zero specially for floats > array_actual = np.asarray(actual) > array_desired = np.asarray(desired) > if (array_actual.dtype.char in 'Mm' or > array_desired.dtype.char in 'Mm'): > # version 1.18 > # until this version, gisnan failed for datetime64 and timedelta64. > # Now it succeeds but comparison to scalar with a different type > # emits a DeprecationWarning. > # Avoid that by skipping the next check > raise NotImplementedError('cannot compare to a scalar ' > 'with a different type') > > if desired == 0 and actual == 0: > if not signbit(desired) == signbit(actual): > raise AssertionError(msg) > > except (TypeError, ValueError, NotImplementedError): > pass > > try: > # Explicitly use __eq__ for comparison, gh-2552 > if not (desired == actual): >> raise AssertionError(msg) >E AssertionError: >E Items are not equal: >E ACTUAL: 271.4823113796459 >E DESIRED: 271.4822820782857 >/usr/lib/python3.12/site-packages/numpy/testing/_private/utils.py:429: AssertionError >During handling of the above exception, another exception occurred: >self = <scipy.integrate.tests.test_quadpack.TestQuad object at 0xf0ede7f8> > def test_complex(self): > def tfunc(x): > return np.exp(1j*x) > > assert np.allclose( > quad(tfunc, 0, np.pi/2, complex_func=True)[0], > 1+1j) > > # We consider a divergent case in order to force quadpack > # to return an error message. The output is compared > # against what is returned by explicit integration > # of the parts. > kwargs = {'a': 0, 'b': np.inf, 'full_output': True, > 'weight': 'cos', 'wvar': 1} > res_c = quad(tfunc, complex_func=True, **kwargs) > res_r = quad(lambda x: np.real(np.exp(1j*x)), > complex_func=False, > **kwargs) > res_i = quad(lambda x: np.imag(np.exp(1j*x)), > complex_func=False, > **kwargs) > > np.testing.assert_equal(res_c[0], res_r[0] + 1j*res_i[0]) >> np.testing.assert_equal(res_c[1], res_r[1] + 1j*res_i[1]) >E AssertionError: >E Items are not equal: >E ACTUAL: (271.4823113796459+4.827353117680502e-15j) >E DESIRED: (271.4822820782857+4.827353117680502e-15j) >scipy/integrate/tests/test_quadpack.py:531: AssertionError >=============================== warnings summary =============================== >_lib/tests/test__util.py::test_pool >_lib/tests/test__util.py::test_pool >_lib/tests/test__util.py::test_mapwrapper_parallel >_lib/tests/test__util.py::test_mapwrapper_parallel >_lib/tests/test__util.py::test_mapwrapper_parallel >_lib/tests/test__util.py::test_mapwrapper_parallel > /usr/lib/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=32086) is multi-threaded, use of fork() may lead to deadlocks in the child. > self.pid = os.fork() >_lib/tests/test_warnings.py: 89 warnings > /builddir/build/BUILDROOT/scipy-1.11.1-1.fc39.i386/usr/lib/python3.12/site-packages/scipy/_lib/tests/test_warnings.py:42: DeprecationWarning: Attribute s is deprecated and will be removed in Python 3.14; use value instead > if node.args[0].s == "ignore": >integrate/tests/test__quad_vec.py: 24 warnings >optimize/tests/test__differential_evolution.py: 4 warnings >optimize/tests/test__shgo.py: 4 warnings >optimize/tests/test_optimize.py: 2 warnings >stats/tests/test_stats.py: 2 warnings > /usr/lib/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=32092) is multi-threaded, use of fork() may lead to deadlocks in the child. > self.pid = os.fork() >special/tests/test_basic.py::TestBessel::test_iv_cephes_vs_amos_mass_test > /builddir/build/BUILDROOT/scipy-1.11.1-1.fc39.i386/usr/lib/python3.12/site-packages/scipy/special/tests/test_basic.py:3073: RuntimeWarning: invalid value encountered in cast > v[imsk] = v[imsk].astype(int) >-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html >=========================== short test summary info ============================ >FAILED scipy/integrate/tests/test_quadpack.py::TestQuad::test_complex - Asser... >= 1 failed, 52077 passed, 2597 skipped, 560 xfailed, 12 xpassed, 132 warnings in 573.79s (0:09:33) = >error: Bad exit status from /var/tmp/rpm-tmp.1OUj0E (%check) > Bad exit status from /var/tmp/rpm-tmp.1OUj0E (%check) >RPM build errors: >Child return code was: 1 >EXCEPTION: [Error('Command failed: \n # /usr/bin/systemd-nspawn -q -M 733ebaf2be744f5ab6492d8857b2e4b8 -D /var/lib/mock/f39-build-44294635-5275341/root -a -u mockbuild --capability=cap_ipc_lock --bind=/tmp/mock-resolv.ot18x3xi:/etc/resolv.conf --bind=/dev/btrfs-control --bind=/dev/mapper/control --bind=/dev/loop-control --bind=/dev/loop0 --bind=/dev/loop1 --bind=/dev/loop2 --bind=/dev/loop3 --bind=/dev/loop4 --bind=/dev/loop5 --bind=/dev/loop6 --bind=/dev/loop7 --bind=/dev/loop8 --bind=/dev/loop9 --bind=/dev/loop10 --bind=/dev/loop11 --console=pipe --setenv=TERM=vt100 --setenv=SHELL=/bin/bash --setenv=HOME=/builddir --setenv=HOSTNAME=mock --setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin --setenv=PROMPT_COMMAND=printf "\\033]0;<mock-chroot>\\007" --setenv=PS1=<mock-chroot> \\s-\\v\\$ --setenv=LANG=C.UTF-8 --resolv-conf=off bash --login -c /usr/bin/rpmbuild -bb --noclean --target i686 --nodeps /builddir/build/SPECS/scipy.spec\n', 1)] >Traceback (most recent call last): > File "/usr/lib/python3.11/site-packages/mockbuild/trace_decorator.py", line 93, in trace > result = func(*args, **kw) > ^^^^^^^^^^^^^^^^^ > File "/usr/lib/python3.11/site-packages/mockbuild/util.py", line 597, in do_with_status > raise exception.Error("Command failed: \n # %s\n%s" % (command, output), child.returncode) >mockbuild.exception.Error: Command failed: > # /usr/bin/systemd-nspawn -q -M 733ebaf2be744f5ab6492d8857b2e4b8 -D /var/lib/mock/f39-build-44294635-5275341/root -a -u mockbuild --capability=cap_ipc_lock --bind=/tmp/mock-resolv.ot18x3xi:/etc/resolv.conf --bind=/dev/btrfs-control --bind=/dev/mapper/control --bind=/dev/loop-control --bind=/dev/loop0 --bind=/dev/loop1 --bind=/dev/loop2 --bind=/dev/loop3 --bind=/dev/loop4 --bind=/dev/loop5 --bind=/dev/loop6 --bind=/dev/loop7 --bind=/dev/loop8 --bind=/dev/loop9 --bind=/dev/loop10 --bind=/dev/loop11 --console=pipe --setenv=TERM=vt100 --setenv=SHELL=/bin/bash --setenv=HOME=/builddir --setenv=HOSTNAME=mock --setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin --setenv=PROMPT_COMMAND=printf "\033]0;<mock-chroot>\007" --setenv=PS1=<mock-chroot> \s-\v\$ --setenv=LANG=C.UTF-8 --resolv-conf=off bash --login -c /usr/bin/rpmbuild -bb --noclean --target i686 --nodeps /builddir/build/SPECS/scipy.spec >
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