Source: scipy Version: 1.16.3-1 Severity: serious Tags: ftbfs User: [email protected] Usertags: python3.14
Hi Maintainer scipy FTBFS on i386 when built with Python 3.14 as a supported version [1]. I've copied what I hope is the relevant part of the log below. Regards Graham [1] https://buildd.debian.org/status/logs.php?pkg=scipy&arch=i386 =================================== FAILURES =================================== ____________________________ TestCheby1.test_basic _____________________________ self = <scipy.signal.tests.test_filter_design.TestCheby1 object at 0xec5c8ca8> def test_basic(self): for N in range(25): wn = 0.01 z, p, k = cheby1(N, 1, wn, 'low', analog=True, output='zpk') assert_array_almost_equal([], z) assert len(p) == N assert all(np.real(p) <= 0) # No poles in right half of S-plane for N in range(25): wn = 0.01 z, p, k = cheby1(N, 1, wn, 'high', analog=False, output='zpk') xp_assert_equal(np.ones(N), z) # All zeros exactly at DC assert all(np.abs(p) <= 1) # No poles outside unit circle # Same test as TestNormalize b, a = cheby1(8, 0.5, 0.048) assert_array_almost_equal(b, [ 2.150733144728282e-11, 1.720586515782626e-10, 6.022052805239190e-10, 1.204410561047838e-09, 1.505513201309798e-09, 1.204410561047838e-09, 6.022052805239190e-10, 1.720586515782626e-10, 2.150733144728282e-11], decimal=14) > assert_array_almost_equal(a, [ 1.000000000000000e+00, -7.782402035027959e+00, 2.654354569747454e+01, -5.182182531666387e+01, 6.334127355102684e+01, -4.963358186631157e+01, 2.434862182949389e+01, -6.836925348604676e+00, 8.412934944449140e-01], decimal=14) N = 24 a = array([ 1. , -7.78240204, 26.5435457 , -51.82182532, 63.34127355, -49.63358187, 24.34862183, -6.83692535, 0.84129349]) b = array([2.15073272e-11, 1.72058618e-10, 6.02205162e-10, 1.20441032e-09, 1.50551290e-09, 1.20441032e-09, 6.02205162e-10, 1.72058618e-10, 2.15073272e-11]) k = np.float64(0.6384835658206042) p = array([0.99938388-0.03141819j, 0.9991114 -0.03195271j, 0.99878499-0.03307606j, 0.9983673 -0.03489287j, 0...759099j, 0.9983673 +0.03489287j, 0.99878499+0.03307606j, 0.9991114 +0.03195271j, 0.99938388+0.03141819j]) self = <scipy.signal.tests.test_filter_design.TestCheby1 object at 0xec5c8ca8> wn = 0.01 z = array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]) _________________________ TestStudentT.test_moments_t __________________________ self = <scipy.stats.tests.test_distributions.TestStudentT object at 0xe6759768> def test_moments_t(self): # regression test for #8786 assert_equal(stats.t.stats(df=1, moments='mvsk'), (np.inf, np.nan, np.nan, np.nan)) assert_equal(stats.t.stats(df=1.01, moments='mvsk'), (0.0, np.inf, np.nan, np.nan)) assert_equal(stats.t.stats(df=2, moments='mvsk'), (0.0, np.inf, np.nan, np.nan)) assert_equal(stats.t.stats(df=2.01, moments='mvsk'), (0.0, 2.01/(2.01-2.0), np.nan, np.inf)) assert_equal(stats.t.stats(df=3, moments='sk'), (np.nan, np.inf)) assert_equal(stats.t.stats(df=3.01, moments='sk'), (0.0, np.inf)) assert_equal(stats.t.stats(df=4, moments='sk'), (0.0, np.inf)) > assert_equal(stats.t.stats(df=4.01, moments='sk'), (0.0, 6.0/(4.01 - > 4.0))) E AssertionError: E Items are not equal: E item=1 E E ACTUAL: np.float64(600.0000000000128) E DESIRED: 600.0000000000127 self = <scipy.stats.tests.test_distributions.TestStudentT object at 0xe6759768> scipy/stats/tests/test_distributions.py:3900: AssertionError
