scipy fails to build with Python 3.14.0a4.

FAILED scipy/special/tests/test_mpmath.py::TestSystematic::test_bessely - Ass...
FAILED scipy/special/tests/test_mpmath.py::TestSystematic::test_bessely_int
FAILED scipy/special/tests/test_mpmath.py::TestSystematic::test_wrightomega.

_________________________ TestSystematic.test_bessely __________________________
[gw2] linux -- Python 3.14.0 /usr/bin/python3

self = <scipy.special.tests.test_mpmath.TestSystematic object at 0x7fc8361cb430>

    def test_bessely(self):
        def mpbessely(v, x):
            r = float(mpmath.bessely(v, x, **HYPERKW))
            if abs(r) > 1e305:
                # overflowing to inf a bit earlier is OK
                r = np.inf * np.sign(r)
            if abs(r) == 0 and x == 0:
                # invalid result from mpmath, point x=0 is a divergence
                return np.nan
            return r
>       assert_mpmath_equal(
            sc.yv,
            exception_to_nan(mpbessely),
            [Arg(-1e100, 1e100), Arg(-1e8, 1e8)],
            n=5000,
        )

scipy/special/tests/test_mpmath.py:831: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
scipy/special/_mptestutils.py:295: in assert_mpmath_equal
    d.check()
scipy/special/_mptestutils.py:282: in check
    raise value
scipy/special/_mptestutils.py:263: in check
    assert_func_equal(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

func = <ufunc 'yv'>
results = <function MpmathData.check.<locals>.<lambda> at 0x7fc82ec6e140>
points = array([[-1.00000000e+100, -1.00000000e+008],
       [-1.00000000e+100, -1.33352143e+007],
       [-1.00000000e+100, -1...7941e+006],
       [ 1.00000000e+100,  1.33352143e+007],
       [ 1.00000000e+100,  1.00000000e+008]], shape=(5041, 2))
rtol = 1e-07, atol = 1e-300, param_filter = None, knownfailure = None
vectorized = False, dtype = None, nan_ok = True, ignore_inf_sign = False
distinguish_nan_and_inf = True

    def assert_func_equal(func, results, points, rtol=None, atol=None,
                          param_filter=None, knownfailure=None,
                          vectorized=True, dtype=None, nan_ok=False,
                          ignore_inf_sign=False, distinguish_nan_and_inf=True):
        if hasattr(points, 'next'):
            # it's a generator
            points = list(points)
    
        points = np.asarray(points)
        if points.ndim == 1:
            points = points[:,None]
        nparams = points.shape[1]
    
        if hasattr(results, '__name__'):
            # function
            data = points
            result_columns = None
            result_func = results
        else:
            # dataset
            data = np.c_[points, results]
            result_columns = list(range(nparams, data.shape[1]))
            result_func = None
    
        fdata = FuncData(func, data, list(range(nparams)),
                         result_columns=result_columns, result_func=result_func,
                         rtol=rtol, atol=atol, param_filter=param_filter,
                         knownfailure=knownfailure, nan_ok=nan_ok, vectorized=vectorized,
                         ignore_inf_sign=ignore_inf_sign,
                         distinguish_nan_and_inf=distinguish_nan_and_inf)
>       fdata.check()
E       AssertionError: 
E       Max |adiff|: 0
E       Max |rdiff|: 0
E       Bad results (9 out of 1708) for the following points (in output 0):
E               -2.371373705661655e+13                              0. =>                            inf !=                           -inf  (rdiff                             0.)
E                   -8.947368421052632                              0. =>                            inf !=                           -inf  (rdiff                             0.)
E                   -7.894736842105263                              0. =>                           -inf !=                            inf  (rdiff                             0.)
E                   -6.842105263157895                              0. =>                            inf !=                           -inf  (rdiff                             0.)
E                   -5.789473684210526                              0. =>                           -inf !=                            inf  (rdiff                             0.)
E                  -4.7368421052631575                              0. =>                            inf !=                           -inf  (rdiff                             0.)
E                  -3.6842105263157894                              0. =>                           -inf !=                            inf  (rdiff                             0.)
E                   -2.631578947368421                              0. =>                            inf !=                           -inf  (rdiff                             0.)
E                  -1.5789473684210527                              0. =>                           -inf !=                            inf  (rdiff                             0.)

scipy/special/_testutils.py:85: AssertionError
_______________________ TestSystematic.test_bessely_int ________________________
[gw2] linux -- Python 3.14.0 /usr/bin/python3

self = <scipy.special.tests.test_mpmath.TestSystematic object at 0x7fc83615fec0>

    def test_bessely_int(self):
        def mpbessely(v, x):
            r = float(mpmath.bessely(v, x))
            if abs(r) == 0 and x == 0:
                # invalid result from mpmath, point x=0 is a divergence
                return np.nan
            return r
>       assert_mpmath_equal(
            lambda v, z: sc.yn(int(v), z),
            exception_to_nan(mpbessely),
            [IntArg(-1000, 1000), Arg(-1e8, 1e8)],
        )

scipy/special/tests/test_mpmath.py:860: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
scipy/special/_mptestutils.py:295: in assert_mpmath_equal
    d.check()
scipy/special/_mptestutils.py:282: in check
    raise value
scipy/special/_mptestutils.py:263: in check
    assert_func_equal(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

func = <function TestSystematic.test_bessely_int.<locals>.<lambda> at 0x7fc82ec6f5e0>
results = <function MpmathData.check.<locals>.<lambda> at 0x7fc82ec6f7f0>
points = array([[-1.00000000e+03, -1.00000000e+08],
       [-1.00000000e+03, -3.16227766e+04],
       [-1.00000000e+03, -1.0000....00000000e+01,  1.00000000e+01],
       [ 1.00000000e+01,  3.16227766e+04],
       [ 1.00000000e+01,  1.00000000e+08]])
rtol = 1e-07, atol = 1e-300, param_filter = None, knownfailure = None
vectorized = False, dtype = None, nan_ok = True, ignore_inf_sign = False
distinguish_nan_and_inf = True

    def assert_func_equal(func, results, points, rtol=None, atol=None,
                          param_filter=None, knownfailure=None,
                          vectorized=True, dtype=None, nan_ok=False,
                          ignore_inf_sign=False, distinguish_nan_and_inf=True):
        if hasattr(points, 'next'):
            # it's a generator
            points = list(points)
    
        points = np.asarray(points)
        if points.ndim == 1:
            points = points[:,None]
        nparams = points.shape[1]
    
        if hasattr(results, '__name__'):
            # function
            data = points
            result_columns = None
            result_func = results
        else:
            # dataset
            data = np.c_[points, results]
            result_columns = list(range(nparams, data.shape[1]))
            result_func = None
    
        fdata = FuncData(func, data, list(range(nparams)),
                         result_columns=result_columns, result_func=result_func,
                         rtol=rtol, atol=atol, param_filter=param_filter,
                         knownfailure=knownfailure, nan_ok=nan_ok, vectorized=vectorized,
                         ignore_inf_sign=ignore_inf_sign,
                         distinguish_nan_and_inf=distinguish_nan_and_inf)
>       fdata.check()
E       AssertionError: 
E       Max |adiff|: 0
E       Max |rdiff|: 0
E       Bad results (2 out of 198) for the following points (in output 0):
E                                  -5.                              0. =>                            inf !=                           -inf  (rdiff                             0.)
E                                  -3.                              0. =>                            inf !=                           -inf  (rdiff                             0.)

scipy/special/_testutils.py:85: AssertionError
_______________________ TestSystematic.test_wrightomega ________________________
[gw2] linux -- Python 3.14.0 /usr/bin/python3

self = <scipy.special.tests.test_mpmath.TestSystematic object at 0x7fc835852440>

    def test_wrightomega(self):
>       assert_mpmath_equal(
            sc.wrightomega,
            lambda z: _mpmath_wrightomega(z, 25),
            [ComplexArg()],
            rtol=1e-14,
            nan_ok=False,
        )

scipy/special/tests/test_mpmath.py:2066: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
scipy/special/_mptestutils.py:295: in assert_mpmath_equal
    d.check()
scipy/special/_mptestutils.py:282: in check
    raise value
scipy/special/_mptestutils.py:263: in check
    assert_func_equal(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

func = <ufunc 'wrightomega'>
results = <function MpmathData.check.<locals>.<lambda> at 0x7fc82f419d20>
points = array([[-8.98846567e+307-8.98846567e+307j],
       [-8.98846567e+307-2.99807700e+154j],
       [-8.98846567e+307-1.000...846567e+307+1.00000000e+001j],
       [ 8.98846567e+307+2.99807700e+154j],
       [ 8.98846567e+307+8.98846567e+307j]])
rtol = 1e-14, atol = 1e-300, param_filter = None, knownfailure = None
vectorized = False, dtype = None, nan_ok = False, ignore_inf_sign = False
distinguish_nan_and_inf = True

    def assert_func_equal(func, results, points, rtol=None, atol=None,
                          param_filter=None, knownfailure=None,
                          vectorized=True, dtype=None, nan_ok=False,
                          ignore_inf_sign=False, distinguish_nan_and_inf=True):
        if hasattr(points, 'next'):
            # it's a generator
            points = list(points)
    
        points = np.asarray(points)
        if points.ndim == 1:
            points = points[:,None]
        nparams = points.shape[1]
    
        if hasattr(results, '__name__'):
            # function
            data = points
            result_columns = None
            result_func = results
        else:
            # dataset
            data = np.c_[points, results]
            result_columns = list(range(nparams, data.shape[1]))
            result_func = None
    
        fdata = FuncData(func, data, list(range(nparams)),
                         result_columns=result_columns, result_func=result_func,
                         rtol=rtol, atol=atol, param_filter=param_filter,
                         knownfailure=knownfailure, nan_ok=nan_ok, vectorized=vectorized,
                         ignore_inf_sign=ignore_inf_sign,
                         distinguish_nan_and_inf=distinguish_nan_and_inf)
>       fdata.check()
E       AssertionError: 
E       Max |adiff|: 7.17692
E       Max |rdiff|: 3.42033
E       Bad results (54 out of 506) for the following points (in output 0):
E              -10.-8.571428571428571j => -12.63394994786346-5.86441862392082j != -12.887104225696952-12.482471202020964j  (rdiff             0.3691426975636848)
E              -10.-7.142857142857143j => -12.588780691160748-4.332740374985424j != -12.82690329308715-10.99300959785819j  (rdiff            0.39451241621956645)
E                            -10.+10.j => -12.686465687181895+7.385609225423199j != -12.529313898162737+0.6250692587524965j  (rdiff             0.5390531889826776)
E       -8.333333333333334-8.571428571428571j => -10.848049847699246-5.930104817732772j != -11.154488837022456-12.557520132182585j  (rdiff            0.39499870863851555)
E       -8.333333333333334-7.142857142857143j => -10.78832976776452-4.387526406820558j != -11.084774296801776-11.069142353662336j  (rdiff             0.4269459559668915)
E              -8.333333333333334+10.j => -10.915031085315489+7.457810218719737j != -10.705879059754103+0.6344110123539025j  (rdiff             0.6365333897338118)
E       -6.666666666666667-8.571428571428571j => -9.05263288844341-6.0164085918224j != -9.424744923227854-12.643242971064776j  (rdiff              0.420892856593807)
E       -6.666666666666667-7.142857142857143j => -8.97125105965259-4.462881908561105j != -9.344542269905023-11.158071930486296j  (rdiff             0.4607340339612758)
E              -6.666666666666667+10.j => -9.139309978398686+7.548783477002024j != -8.849730160127592+0.6483539503246142j  (rdiff             0.7783335981029291)
E               -5.-8.571428571428571j => -7.2508717236828115-6.131807854590283j != -7.700456108866808-12.740151291390465j  (rdiff             0.4449407256258271)
E               -5.-7.142857142857143j => -7.137165962978866-4.5708857028625145j != -7.609401609110921-11.260994527431874j  (rdiff             0.4934733704736018)
E                             -5.+10.j => -7.363493198324825+7.663786030958419j != -6.9422903363153186+0.6716727200992746j  (rdiff             1.0043129086743958)
E       -3.3333333333333335-8.571428571428571j => -5.452134758503554-6.286167088640288j != -5.984699571636524-12.847892638117536j  (rdiff             0.4644832557658418)
E       -3.3333333333333335-7.142857142857143j => -5.293304001284589-4.730583570572279j != -5.8834945294980034-11.37801772502132j  (rdiff             0.5210004632817236)
E             -3.3333333333333335+10.j => -5.595672164986294+7.807344829155983j != -4.941503489303835+0.7198859176740809j  (rdiff              1.425322736359115)
E       -1.6666666666666667-8.571428571428571j => -3.675436554787932-6.485013739967222j != -4.280648931051868-12.96491510053344j  (rdiff            0.47666837512174637)
E       -1.6666666666666667-7.142857142857143j => -3.46731105262128-4.96217549983834j != -4.171393030221279-11.507484520210541j  (rdiff             0.5378232707788443)
E             -1.6666666666666667+10.j => -3.848129866424136+7.979873307974236j != -2.7176520143931153+0.8925504707315325j  (rdiff             2.5090004207064704)
E       -1.405721108836252e-10-8.571428571428571j => -1.9451574549966566-6.718828315834169j != -2.5909447509697903-13.088386670623484j  (rdiff              0.479840635581261)
E       -1.405721108836252e-10-7.142857142857143j => -1.7099520395363859-5.257617990015605j != -2.477058524456513-11.645667318267073j  (rdiff             0.5403863643215897)
E          -1.405721108836252e-10+10.j => -2.1339050354418716+8.173838080291207j != -0.6488910227160584+1.8000299421069414j  (rdiff             3.4203281872732694)
E       -1.1856311014966939e-20-8.571428571428571j => -1.9451574548531982-6.718828315854685j != -2.5909447508279317-13.088386670634067j  (rdiff             0.4798406355811497)
E       -1.1856311014966939e-20-7.142857142857143j => -1.709952039392268-5.257617990041863j != -2.477058524314434-11.645667318278953j  (rdiff             0.5403863643212252)
E         -1.1856311014966939e-20+10.j => -2.1339050352989584+8.173838080308078j != -0.6488910225901608+1.8000299421821735j  (rdiff             3.4203281871913545)
E       -9.999999999999999e-31-8.571428571428571j => -1.9451574548531982-6.718828315854685j != -2.5909447508279317-13.088386670634067j  (rdiff             0.4798406355811497)
E       -9.999999999999999e-31-7.142857142857143j => -1.709952039392268-5.257617990041863j != -2.477058524314434-11.645667318278953j  (rdiff             0.5403863643212252)
E          -9.999999999999999e-31+10.j => -2.1339050352989584+8.173838080308078j != -0.6488910225901608+1.8000299421821735j  (rdiff             3.4203281871913545)
E                0.-8.571428571428571j => -1.9451574548531982-6.718828315854685j != -2.5909447508279317-13.088386670634067j  (rdiff             0.4798406355811497)
E                0.-7.142857142857143j => -1.709952039392268-5.257617990041863j != -2.477058524314434-11.645667318278953j  (rdiff             0.5403863643212252)
E                              0.+10.j => -2.1339050352989584+8.173838080308078j != -0.6488910225901608+1.8000299421821735j  (rdiff             3.4203281871913545)
E       9.999999999999999e-31-8.571428571428571j => -1.9451574548531982-6.718828315854685j != -2.5909447508279317-13.088386670634067j  (rdiff             0.4798406355811497)
E       9.999999999999999e-31-7.142857142857143j => -1.709952039392268-5.257617990041863j != -2.477058524314434-11.645667318278953j  (rdiff             0.5403863643212252)
E           9.999999999999999e-31+10.j => -2.1339050352989584+8.173838080308078j != -0.6488910225901608+1.8000299421821735j  (rdiff             3.4203281871913545)
E       1.2909944487358053e-15-8.571428571428571j => -1.945157454853197-6.718828315854685j != -2.5909447508279304-13.088386670634067j  (rdiff             0.4798406355811497)
E       1.2909944487358053e-15-7.142857142857143j => -1.7099520393922665-5.257617990041863j != -2.4770585243144327-11.645667318278953j  (rdiff             0.5403863643212252)
E          1.2909944487358053e-15+10.j => -2.133905035298957+8.173838080308078j != -0.6488910225901596+1.8000299421821742j  (rdiff              3.420328187191354)
E       1.6666666666666667-8.571428571428571j => -0.2744654544078355-6.961224903612194j != -0.9170526290715416-13.21453134905898j  (rdiff            0.47456491852587757)
E       1.6666666666666667-7.142857142857143j => -0.049538603658034815-5.563156285649778j != -0.8026653766199635-11.787255047979839j  (rdiff             0.5306589443194261)
E              1.6666666666666667+10.j => -0.46001058073638723+8.374327777835772j != 0.7323492458182184+2.437849354033908j  (rdiff              2.378745878979051)
E       3.3333333333333335-8.571428571428571j => 1.344066684743253-7.185546807633524j != 0.7410766961813078-13.339316323647907j  (rdiff             0.4628214302875423)
E       3.3333333333333335-7.142857142857143j => 1.536760660329162-5.829801945949534j != 0.8520199037001486-11.926563806151691j  (rdiff              0.513098177198048)
E              3.3333333333333335+10.j => 1.1762305687474846+8.565669352480688j != 2.0857149889844546+2.788260375252278j  (rdiff              1.679635124563892)
E                5.-8.571428571428571j => 2.928303012550468-7.378439959771553j != 2.3848804554669596-13.459190695934964j  (rdiff            0.44663483100444384)
E                5.-7.142857142857143j => 3.085152714946432-6.0440304625195385j != 2.489337914027316-12.058819508882655j  (rdiff             0.4908785913716135)
E                              5.+10.j => 2.784012385424369+8.73765641163547j != 3.475316206987332+3.0040260096615476j  (rdiff             1.2571928668990136)
E       6.666666666666667-8.571428571428571j => 4.494588794540864-7.538279055468969j != 4.016705172536024-13.57156814224922j  (rdiff             0.4276107161501826)
E       6.666666666666667-7.142857142857143j => 4.620087592672436-6.211573713052354j != 4.1128191129485066-12.180872759181172j  (rdiff             0.4659764152216193)
E               6.666666666666667+10.j => 4.373672713023876+8.886565143149184j != 4.904207319937926+3.146388982246719j  (rdiff             0.9893408011166066)
E       8.333333333333334-8.571428571428571j => 6.053967293437565-7.668888081916271j != 5.639242255141361-13.674948512964784j  (rdiff             0.4069993519706444)
E       8.333333333333334-7.142857142857143j => 6.154326207772091-6.342409520380234j != 5.726235077575571-12.291226985918055j  (rdiff             0.4398492652499389)
E               8.333333333333334+10.j => 5.953619319079618+9.012967694058363j != 6.366752512330605+3.245403589051223j  (rdiff             0.8091490866131626)
E               10.-8.571428571428571j => 7.612905603565097-7.775466896748945j != 7.255086424464743-13.768771098081224j  (rdiff             0.3857786069139004)
E               10.-7.142857142857143j => 7.693737389287936-6.445511616556784j != 7.3329739084336705-12.389660586883695j  (rdiff             0.4136312781970903)
E                             10.+10.j => 7.5296802758532015+9.119406172153722j != 7.856617067125642+3.3172932633531174j  (rdiff             0.6814204517254607)



https://docs.python.org/3.14/whatsnew/3.14.html

For the build logs, see:
https://copr-be.cloud.fedoraproject.org/results/@python/python3.14/fedora-rawhide-x86_64/08566786-scipy/

For all our attempts to build scipy with Python 3.14, see:
https://copr.fedorainfracloud.org/coprs/g/python/python3.14/package/scipy/

Testing and mass rebuild of packages is happening in copr.
You can follow these instructions to test locally in mock if your package builds with Python 3.14:
https://copr.fedorainfracloud.org/coprs/g/python/python3.14/

Let us know here if you have any questions.

Python 3.14 is planned to be included in Fedora 43.
To make that update smoother, we're building Fedora packages with all pre-releases of Python 3.14.
A build failure prevents us from testing all dependent packages (transitive [Build]Requires),
so if this package is required a lot, it's important for us to get it fixed soon.

We'd appreciate help from the people who know this package best,
but if you don't want to work on this now, let us know so we can try to work around it on our side.