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Date: Sun, 6 Sep 2026 14:57:30 +0200
From: Sebastian Ramacher &lt;sramacher@debian.org&gt;
To: Debian Bug Tracking System &lt;submit@bugs.debian.org&gt;
Subject: dipy: FTBFS on i386: test failures
Message-ID: &lt;ap1jOkujIcszCnY1@ramacher.at&gt;
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Source: dipy
Version: 1.12.1-5
Severity: serious
Tags: ftbfs
Justification: fails to build from source (but built successfully in the past)
X-Debbugs-Cc: sramacher@debian.org
User: debian-qa@lists.debian.org
Usertags: i386

Dear maintainer,

dipy FTBFS on i386:


=================================== FAILURES ===================================
_______________________________ test_ascm_static _______________________________

    def test_ascm_static():
        S0 = 100 * np.ones((20, 20, 20), dtype=&quot;f8&quot;)
        S0n1 = nlmeans(S0, sigma=0, rician=False, patch_radius=1, block_radius=1)
        S0n2 = nlmeans(S0, sigma=0, rician=False, patch_radius=2, block_radius=1)
        S0n = adaptive_soft_matching(S0, S0n1, S0n2, 0)
    
&gt;       assert abs(S0n.mean() - 100) &lt; 1
E       assert 1.7775472817319411 &lt; 1
E        +  where 1.7775472817319411 = abs((98.222452718268059 - 100))
E        +    where 98.222452718268059 = &lt;built-in method mean of numpy.ndarray object at 0xe6d87920&gt;()
E        +      where &lt;built-in method mean of numpy.ndarray object at 0xe6d87920&gt; = array([[[ 105.64528906,   83.73337841,  103.14523929, ...,  100.10504015,\n          100.02191643,  100.00381517],\n    ...2],\n        [  97.76005389,   96.61499114,   99.12334288, ...,  100.48079701,\n           99.98568357,  100.01387022]]]).mean

dipy/denoise/tests/test_ascm.py:18: AssertionError
______________________ test_blockwise_sigma_array_support ______________________

    def test_blockwise_sigma_array_support():
        &quot;&quot;&quot;
        Test that blockwise method supports different sigma input formats.
        &quot;&quot;&quot;
        S0 = 100 * np.ones((20, 20, 20), dtype=&quot;f8&quot;)
        result1 = nlmeans(S0, sigma=1.0, method=&quot;blockwise&quot;)
        assert result1.shape == S0.shape
    
        result2 = nlmeans(S0, sigma=np.array(1.0), method=&quot;blockwise&quot;)
        assert result2.shape == S0.shape
&gt;       assert np.abs(np.mean(result2) - np.mean(result1)) &lt; 1.0
E       AssertionError: assert 1.1618215408360868 &lt; 1.0
E        +  where 1.1618215408360868 = &lt;ufunc 'absolute'&gt;((98.983997815277846 - 97.822176274441759))
E        +    where &lt;ufunc 'absolute'&gt; = np.abs
E        +    and   98.983997815277846 = &lt;function mean at 0xf5938940&gt;(array([[[ 99.9899995 ,  99.9899995 ,  99.9899995 , ...,  99.9899995 ,\n          99.9899995 ,  99.9899995 ],\n        [ ...899995 ],\n        [ 99.9899995 ,  99.9899995 ,  99.9899995 , ...,  99.9899995 ,\n          99.9899995 ,  99.9899995 ]]]))
E        +      where &lt;function mean at 0xf5938940&gt; = np.mean
E        +    and   97.822176274441759 = &lt;function mean at 0xf5938940&gt;(array([[[ 99.9899995 ,  99.9899995 ,  99.9899995 , ...,  99.9899995 ,\n          99.9899995 ,  99.9899995 ],\n        [ ...899995 ],\n        [ 99.9899995 ,  99.9899995 ,  99.9899995 , ...,  99.9899995 ,\n          99.9899995 ,  99.9899995 ]]]))
E        +      where &lt;function mean at 0xf5938940&gt; = np.mean

dipy/denoise/tests/test_nlmeans.py:199: AssertionError
=========================== short test summary info ============================
FAILED dipy/denoise/tests/test_ascm.py::test_ascm_static - assert 1.777547281...
FAILED dipy/denoise/tests/test_nlmeans.py::test_blockwise_sigma_array_support
==== 2 failed, 957 passed, 174 skipped, 59 deselected in 5727.48s (1:35:27) ====

See
https://buildd.debian.org/status/fetch.php?pkg=dipy&amp;arch=i386&amp;ver=1.12.1-5%2Bb1&amp;stamp=1788589386&amp;raw=0
for details.

Cheers
-- 
Sebastian Ramacher
]