Source: scikit-learn, python-skbio Control: found -1 scikit-learn/0.22.1+dfsg-1 Control: found -1 python-skbio/0.5.5-3 Severity: serious Tags: sid bullseye X-Debbugs-CC: [email protected] User: [email protected] Usertags: breaks needs-update
Dear maintainers,
With a recent upload of scikit-learn the autopkgtest of python-skbio
fails in testing when that autopkgtest is run with the binary packages
of scikit-learn from unstable. It passes when run with only packages
from testing. In tabular form:
pass fail
scikit-learn from testing 0.22.1+dfsg-1
python-skbio from testing 0.5.5-3
all others from testing from testing
I copied some of the output at the bottom of this report.
Currently this regression is blocking the migration of scikit-learn to
testing [1]. Due to the nature of this issue, I filed this bug report
against both packages. Can you please investigate the situation and
reassign the bug to the right package?
More information about this bug and the reason for filing it can be found on
https://wiki.debian.org/ContinuousIntegration/RegressionEmailInformation
Paul
PS: scikit-learn also FTBFS on several architectures.
[1] https://qa.debian.org/excuses.php?package=scikit-learn
https://ci.debian.net/data/autopkgtest/testing/amd64/p/python-skbio/4266056/log.gz
=================================== FAILURES
===================================
______________ [doctest] skbio.stats.distance._permdisp.permdisp
_______________
129 ... ['s1', 's2', 's3', 's4', 's5', 's6'])
130 >>> grouping = ['G1', 'G1', 'G1', 'G2', 'G2', 'G2']
131
132 Run PERMDISP using 99 permutations to caluculate the p-value:
133
134 >>> from skbio.stats.distance import permdisp
135 >>> import numpy as np
136 >>> #make output deterministic, should not be included during
normal use
137 >>> np.random.seed(0)
138 >>> permdisp(dm, grouping, permutations=99)
Differences (unified diff with -expected +actual):
@@ -4,5 +4,5 @@
number of groups 2
test statistic 1.03296
-p-value 0.35
+p-value 0.29
number of permutations 99
Name: PERMDISP results, dtype: object
signature.asc
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