Dear Drew,

On Mon, 26 Aug 2024 09:56:21 +0200 Drew Parsons <dpars...@debian.org> wrote:
Source: python-ltfatpy
Version: 1.0.16-10
Severity: normal

python-ltfatpy is failing tests with scipy 1.14 (from experimental)


 94s _________________________ TestGabWin.test_str_entries 
__________________________
94s 94s self = <ltfatpy.tests.gabor.test_gabwin.TestGabWin testMethod=test_str_entries> 94s 94s def test_str_entries(self):
 94s         a = random.randint(10, 40)
 94s         M = random.randint(10, 40)
 94s         L = M * random.randint(2, 5)
94s 94s # psech
 94s         mess = "a = {0:d}, M = {1:d}, L = {2:d}".format(a, M, L)
 94s         (g, info) = gabwin("psech", a, M, L)
 94s         mess += "\ng = " + str(g)
 94s         mess += "\ninfo = " + str(info)
 94s         self.assertFalse(info['gauss'], mess)
 94s         self.assertTrue(info['wasreal'], mess)
 94s         self.assertFalse(info['istight'], mess)
 94s         self.assertFalse(info['isdual'], mess)
 94s         self.assertFalse(info['wasrow'], mess)
 94s         self.assertFalse(info['isfir'], mess)
 94s         self.assertEqual(info["tfr"], a*M/L, mess)
 94s         self.assertEqual(info["gl"], len(g), mess)
 94s         gt = psech(L, a*M/L)[0]
 94s         mess += "\ngt = " + str(gt)
 94s         np.testing.assert_array_almost_equal(g, gt, 10, mess)
 94s         self.assertRaises(ValueError, gabwin, "sech", a, M)
94s 94s # dualgauss
 94s         mess = "a = {0:d}, M = {1:d}, L = {2:d}".format(a, M, L)
 94s         (g, info) = gabwin("dualgauss", a, M, L)
 94s         mess += "\ng = " + str(g)
 94s         mess += "\ninfo = " + str(info)
 94s         self.assertFalse(info['gauss'], mess)
 94s         self.assertTrue(info['wasreal'], mess)
 94s         self.assertFalse(info['istight'], mess)
 94s         self.assertTrue(info['isdual'], mess)
 94s         self.assertFalse(info['wasrow'], mess)
 94s         self.assertFalse(info['isfir'], mess)
 94s         self.assertEqual(info["tfr"], a*M/L, mess)
 94s         self.assertEqual(info["gl"], len(g), mess)
 94s         gt = gabdual(pgauss(L, a*M/L)[0], a, M)
 94s         mess += "\ngt = " + str(gt)
 94s >       np.testing.assert_array_almost_equal(g, gt, 10, mess)
94s 94s /usr/lib/python3/dist-packages/ltfatpy/tests/gabor/test_gabwin.py:153: 94s _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 94s /usr/lib/python3.12/contextlib.py:81: in inner
 94s     return func(*args, **kwds)
94s _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 94s 94s args = (<function assert_array_almost_equal.<locals>.compare at 0x7f93d85ce700>, array([ 2.43659318e-01, 2.49038983e-01, 2....366e-01, 5.41698845e+13, 4.79537976e-01,
 94s         3.50772907e-01,  2.97075482e-01,  2.65937405e-01,  
2.49038983e-01]))
 94s kwds = {'err_msg': 'a = 12, M = 12, L = 48\ng = [ 2.43659318e-01  
2.49038983e-01  2.65937405e-01  2.97075482e-01\n  3.5077290...937405e-01  
2.49038983e-01]', 'header': 'Arrays are not almost equal to 10 decimals', 
'precision': 10, 'verbose': True}


Unfortunately I'm unable to replicate the issue locally using the latest version of scipy 1.14 form experimental (1.14.0-1exp5 - amd64). I have just triggered a new build in debian-ci to understand if, maybe, the issue is on my side.

Is this still an issue for you?

kind regards
--
Antonio Valentino

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