https://bugzilla.redhat.com/show_bug.cgi?id=1280490
--- Comment #2 from Zbigniew Jędrzejewski-Szmek <zbys...@in.waw.pl> ---
Build fails in tests:
======================================================================
ERROR: Test Fit of Kmeans
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File
"/builddir/build/BUILD/python-pyriemann-0.2.3/python2/tests/test_clustering.py",
line 20, in test_Kmeans_fit
km.fit(covset)
File
"/builddir/build/BUILDROOT/python-pyriemann-0.2.3-2.fc24.x86_64/usr/lib/python2.7/site-packages/pyriemann/clustering.py",
line 155, in fit
tol=self.tol)
File
"/builddir/build/BUILDROOT/python-pyriemann-0.2.3-2.fc24.x86_64/usr/lib/python2.7/site-packages/pyriemann/clustering.py",
line 20, in _fit_single
X, n_clusters, init, random_state=random_state)
File "/usr/lib64/python2.7/site-packages/sklearn/cluster/k_means_.py", line
620, in _init_centroids
x_squared_norms = row_norms(X, squared=True)
File "/usr/lib64/python2.7/site-packages/sklearn/utils/extmath.py", line 69,
in row_norms
norms = np.einsum('ij,ij->i', X, X)
ValueError: operand has more dimensions than subscripts given in einstein sum,
but no '...' ellipsis provided to broadcast the extra dimensions.
======================================================================
ERROR: Test Fit of Kmeans wit matric initialization
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File
"/builddir/build/BUILD/python-pyriemann-0.2.3/python2/tests/test_clustering.py",
line 26, in test_Kmeans_fit_with_init
km.fit(covset)
File
"/builddir/build/BUILDROOT/python-pyriemann-0.2.3-2.fc24.x86_64/usr/lib/python2.7/site-packages/pyriemann/clustering.py",
line 141, in fit
tol=self.tol)
File
"/builddir/build/BUILDROOT/python-pyriemann-0.2.3-2.fc24.x86_64/usr/lib/python2.7/site-packages/pyriemann/clustering.py",
line 20, in _fit_single
X, n_clusters, init, random_state=random_state)
File "/usr/lib64/python2.7/site-packages/sklearn/cluster/k_means_.py", line
620, in _init_centroids
x_squared_norms = row_norms(X, squared=True)
File "/usr/lib64/python2.7/site-packages/sklearn/utils/extmath.py", line 69,
in row_norms
norms = np.einsum('ij,ij->i', X, X)
ValueError: operand has more dimensions than subscripts given in einstein sum,
but no '...' ellipsis provided to broadcast the extra dimensions.
======================================================================
ERROR: Test Fit of Kmeans with a given y
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File
"/builddir/build/BUILD/python-pyriemann-0.2.3/python2/tests/test_clustering.py",
line 33, in test_Kmeans_fit_with_y
km.fit(covset,y=labels)
File
"/builddir/build/BUILDROOT/python-pyriemann-0.2.3-2.fc24.x86_64/usr/lib/python2.7/site-packages/pyriemann/clustering.py",
line 155, in fit
tol=self.tol)
File
"/builddir/build/BUILDROOT/python-pyriemann-0.2.3-2.fc24.x86_64/usr/lib/python2.7/site-packages/pyriemann/clustering.py",
line 20, in _fit_single
X, n_clusters, init, random_state=random_state)
File "/usr/lib64/python2.7/site-packages/sklearn/cluster/k_means_.py", line
620, in _init_centroids
x_squared_norms = row_norms(X, squared=True)
File "/usr/lib64/python2.7/site-packages/sklearn/utils/extmath.py", line 69,
in row_norms
norms = np.einsum('ij,ij->i', X, X)
ValueError: operand has more dimensions than subscripts given in einstein sum,
but no '...' ellipsis provided to broadcast the extra dimensions.
======================================================================
ERROR: Test Fit of Kmeans using paralell
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File
"/builddir/build/BUILD/python-pyriemann-0.2.3/python2/tests/test_clustering.py",
line 39, in test_Kmeans_fit_parallel
km.fit(covset)
File
"/builddir/build/BUILDROOT/python-pyriemann-0.2.3-2.fc24.x86_64/usr/lib/python2.7/site-packages/pyriemann/clustering.py",
line 167, in fit
for seed in seeds)
File "/usr/lib/python2.7/site-packages/joblib/parallel.py", line 812, in
__call__
self.retrieve()
File "/usr/lib/python2.7/site-packages/joblib/parallel.py", line 762, in
retrieve
raise exception
JoblibValueError: JoblibValueError
___________________________________________________________________________
This is with current rawhide:
DEBUG util.py:393: python-pandas x86_64 0.17.0-3.fc24
fedora 6.5 M
DEBUG util.py:393: python-scikit-learn x86_64 0.17-1.fc24
fedora 3.8 M
DEBUG util.py:393: python-six noarch 1.10.0-1.fc24
fedora 34 k
DEBUG util.py:393: python-tables x86_64 3.2.2-2.fc24
fedora 1.3 M
DEBUG util.py:393: python-tools x86_64 2.7.10-11.fc24
fedora 843 k
DEBUG util.py:393: python2-joblib noarch 0.9.3-2.fc24
fedora 266 k
DEBUG util.py:393: python2-matplotlib x86_64 1.4.3-8.fc24
fedora 35 M
DEBUG util.py:393: python2-matplotlib-tk x86_64 1.4.3-8.fc24
fedora 79 k
DEBUG util.py:393: python2-numexpr x86_64 2.4.6-2.fc24
fedora 183 k
DEBUG util.py:393: python2-numpy x86_64 1:1.10.2-0.1rc1.fc24
fedora 3.1 M
DEBUG util.py:393: python2-numpy-f2py x86_64 1:1.10.2-0.1rc1.fc24
fedora 252 k
DEBUG util.py:393: python2-scipy x86_64 0.16.1-6.fc24
fedora 11 M
DEBUG util.py:393: python3-Bottleneck x86_64 0.6.0-7.fc24
fedora 998 k
DEBUG util.py:393: python3-cairo x86_64 1.10.0-14.fc24
fedora 470 k
DEBUG util.py:393: python3-dateutil noarch 1:2.4.2-3.fc24
fedora 89 k
DEBUG util.py:393: python3-devel x86_64 3.5.0-5.fc24
fedora 193 k
DEBUG util.py:393: python3-joblib noarch 0.9.3-2.fc24
fedora 269 k
DEBUG util.py:393: python3-matplotlib x86_64 1.4.3-8.fc24
fedora 35 M
DEBUG util.py:393: python3-matplotlib-tk x86_64 1.4.3-8.fc24
fedora 79 k
DEBUG util.py:393: python3-nose noarch 1.3.7-6.fc24
fedora 288 k
DEBUG util.py:393: python3-numexpr x86_64 2.4.6-2.fc24
fedora 186 k
DEBUG util.py:393: python3-numpy x86_64 1:1.10.2-0.1rc1.fc24
fedora 2.9 M
DEBUG util.py:393: python3-numpy-f2py x86_64 1:1.10.2-0.1rc1.fc24
fedora 216 k
DEBUG util.py:393: python3-pandas x86_64 0.17.0-3.fc24
fedora 6.4 M
DEBUG util.py:393: python3-pyparsing noarch 2.0.6-1.fc24
fedora 109 k
DEBUG util.py:393: python3-pytz noarch 2015.7-2.fc24
fedora 52 k
DEBUG util.py:393: python3-scikit-learn x86_64 0.17-1.fc24
fedora 3.6 M
DEBUG util.py:393: python3-scipy x86_64 0.16.1-6.fc24
fedora 10 M
DEBUG util.py:393: python3-six noarch 1.10.0-1.fc24
fedora 35 k
DEBUG util.py:393: python3-tables x86_64 3.2.2-2.fc24
fedora 1.3 M
DEBUG util.py:393: python3-tkinter x86_64 3.5.0-5.fc24
fedora 352 k
Rebuilding in koji: http://koji.fedoraproject.org/koji/taskinfo?taskID=11987784
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