https://bugzilla.redhat.com/show_bug.cgi?id=1280490 --- Comment #2 from Zbigniew Jędrzejewski-Szmek <zbyszek@xxxxxxxxx> --- 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 -- You are receiving this mail because: You are on the CC list for the bug. 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