Hello community,

here is the log from the commit of package python-scikit-learn for 
openSUSE:Factory checked in at 2018-05-17 19:33:18
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-scikit-learn (Old)
 and      /work/SRC/openSUSE:Factory/.python-scikit-learn.new (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "python-scikit-learn"

Thu May 17 19:33:18 2018 rev:2 rq:610089 version:0.19.1

Changes:
--------
--- /work/SRC/openSUSE:Factory/python-scikit-learn/python-scikit-learn.changes  
2018-01-22 16:10:06.729529217 +0100
+++ 
/work/SRC/openSUSE:Factory/.python-scikit-learn.new/python-scikit-learn.changes 
    2018-05-17 19:33:19.399253026 +0200
@@ -1,0 +2,13 @@
+Thu May 17 13:39:27 UTC 2018 - tchva...@suse.com
+
+- Skip test sklearn.linear_model.tests.test_logistic.test_max_iter
+  * Upstream plans to fix it in next release
+  * scikit-learn-skip-test.patch
+
+-------------------------------------------------------------------
+Thu May 17 12:25:53 UTC 2018 - tchva...@suse.com
+
+- Update package to properly state dependencies as in setup.py
+- Install license file
+
+-------------------------------------------------------------------

New:
----
  scikit-learn-skip-test.patch

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Other differences:
------------------
++++++ python-scikit-learn.spec ++++++
--- /var/tmp/diff_new_pack.CDd4jG/_old  2018-05-17 19:33:20.647207432 +0200
+++ /var/tmp/diff_new_pack.CDd4jG/_new  2018-05-17 19:33:20.651207286 +0200
@@ -1,7 +1,7 @@
 #
 # spec file for package python-scikit-learn
 #
-# Copyright (c) 2017 SUSE LINUX GmbH, Nuernberg, Germany.
+# Copyright (c) 2018 SUSE LINUX GmbH, Nuernberg, Germany.
 #
 # All modifications and additions to the file contributed by third parties
 # remain the property of their copyright owners, unless otherwise agreed
@@ -16,28 +16,28 @@
 #
 
 
+%{?!python_module:%define python_module() python-%{**} python3-%{**}}
+%define oldpython python
 # test floating-point accuracy issues on non-x86 archs
-%ifarch %ix86 x86_64
+%ifarch %{ix86} x86_64
 %bcond_without test
 %else
 %bcond_with test
 %endif
-
-%{?!python_module:%define python_module() python-%{**} python3-%{**}}
-%define oldpython python
 Name:           python-scikit-learn
+Version:        0.19.1
+Release:        0
 Summary:        Python modules for machine learning and data mining
 License:        BSD-3-Clause
 Group:          Development/Libraries/Python
-Version:        0.19.1
-Release:        0
+URL:            http://scikit-learn.org/
 Source0:        
https://files.pythonhosted.org/packages/source/s/scikit-learn/scikit-learn-%{version}.tar.gz
-Url:            http://scikit-learn.org/
-BuildRoot:      %{_tmppath}/%{name}-%{version}-build
+# Drop with next update
+Patch0:         scikit-learn-skip-test.patch
 BuildRequires:  %{python_module devel}
 BuildRequires:  %{python_module matplotlib}
-BuildRequires:  %{python_module numpy-devel >= 1.6.1}
-BuildRequires:  %{python_module scipy >= 0.9}
+BuildRequires:  %{python_module numpy-devel >= 1.8.2}
+BuildRequires:  %{python_module scipy >= 0.13.3}
 BuildRequires:  %{python_module setuptools}
 BuildRequires:  %{python_module xml}
 BuildRequires:  fdupes
@@ -45,14 +45,14 @@
 BuildRequires:  gcc-fortran
 BuildRequires:  openblas-devel
 BuildRequires:  python-rpm-macros
+Requires:       python-matplotlib
+Requires:       python-numpy >= 1.8.2
+Requires:       python-scipy >= 0.13.3
+Requires:       python-xml
 %if %{with test}
 BuildRequires:  %{python_module Cython}
 BuildRequires:  %{python_module nose}
 %endif
-Requires:       python-matplotlib
-Requires:       python-numpy >= 1.6.1
-Requires:       python-scipy >= 0.9
-Requires:       python-xml
 %ifpython2
 Provides:       %{oldpython}-scikits-learn = %{version}
 Obsoletes:      %{oldpython}-scikits-learn < %{version}
@@ -65,6 +65,7 @@
 
 %prep
 %setup -q -n scikit-learn-%{version}
+%patch0 -p1
 
 %build
 %python_build
@@ -86,7 +87,7 @@
 %endif
 
 %files %{python_files}
-%defattr(-,root,root)
+%license COPYING
 %doc AUTHORS.rst README.rst
 %{python_sitearch}/sklearn/
 %{python_sitearch}/scikit_learn-%{version}-py*.egg-info

++++++ scikit-learn-skip-test.patch ++++++
Index: scikit-learn-0.19.1/sklearn/linear_model/tests/test_logistic.py
===================================================================
--- scikit-learn-0.19.1.orig/sklearn/linear_model/tests/test_logistic.py
+++ scikit-learn-0.19.1/sklearn/linear_model/tests/test_logistic.py
@@ -1003,26 +1003,6 @@ def test_logreg_predict_proba_multinomia
     assert_greater(clf_wrong_loss, clf_multi_loss)
 
 
-@ignore_warnings
-def test_max_iter():
-    # Test that the maximum number of iteration is reached
-    X, y_bin = iris.data, iris.target.copy()
-    y_bin[y_bin == 2] = 0
-
-    solvers = ['newton-cg', 'liblinear', 'sag', 'saga', 'lbfgs']
-
-    for max_iter in range(1, 5):
-        for solver in solvers:
-            for multi_class in ['ovr', 'multinomial']:
-                if solver == 'liblinear' and multi_class == 'multinomial':
-                    continue
-                lr = LogisticRegression(max_iter=max_iter, tol=1e-15,
-                                        multi_class=multi_class,
-                                        random_state=0, solver=solver)
-                lr.fit(X, y_bin)
-                assert_equal(lr.n_iter_[0], max_iter)
-
-
 def test_n_iter():
     # Test that self.n_iter_ has the correct format.
     X, y = iris.data, iris.target

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