scikit-learn: 2 test failures on Debian stable (stretch) amd64

Sorry no show_versions output (yet to add to debian/rules, numpy 1.12.1), and I just wanted to possibly seek ideas/clues before digging deeper or skipping those tests - everything seems to be ok on more recentish systems:

1

____________________________ test_lars_cv_max_iter _____________________________

    @pytest.mark.filterwarnings('ignore::FutureWarning')
    def test_lars_cv_max_iter():
        with warnings.catch_warnings(record=True) as w:
            X = diabetes.data
            y = diabetes.target
            rng = np.random.RandomState(42)
            x = rng.randn(len(y))
            X = np.c_[X, x, x]  # add correlated features
            lars_cv = linear_model.LassoLarsCV(max_iter=5)
            lars_cv.fit(X, y)
>       assert_true(len(w) == 0)

re assert_true submitted #12547 - but anything sounds familiar?

2

__________________________ test_docstring_parameters ___________________________

    @pytest.mark.filterwarnings('ignore::DeprecationWarning')
    @pytest.mark.skipif(IS_PYPY, reason='test segfaults on PyPy') 
    def test_docstring_parameters(): 
        # Test module docstring formatting
...
        msg = '\n' + '\n'.join(sorted(list(set(incorrect))))
        if len(incorrect) > 0:
>           raise AssertionError("Docstring Error: " + msg)
E           AssertionError: Docstring Error:
E           sklearn.utils.fixes.divide arg mismatch: ['dtype', 'out', 'x1', 'x2']

sklearn/tests/test_docstring_parameters.py:125: AssertionError

so this one is particularly mysterious 😉

ATLAS version 3.10.3 built by buildd on Tue Jan 17 22:59:14 UTC 2017:
   UNAME    : Linux x86-ubc-01 3.16.0-4-amd64 #1 SMP Debian 3.16.39-1 (2016-12-30) x86_64 GNU/Linux
   INSTFLG  : -1 0 -a 1 -l 1
   ARCHDEFS : -DATL_OS_Linux -DATL_ARCH_x86SSE2 -DATL_CPUMHZ=2297 -DATL_SSE2 -DATL_SSE1 -DATL_USE64BITS -DATL_GAS_x8664
   F2CDEFS  : -DAdd_ -DF77_INTEGER=int -DStringSunStyle
   CACHEEDGE: 1048576
   F77      : /usr/bin/x86_64-linux-gnu-gfortran, version GNU Fortran (Debian 6.3.0-2) 6.3.0 20161229
   F77FLAGS : -fomit-frame-pointer -mfpmath=sse -O2 -msse2 -fPIC -m64
   SMC      : /usr/bin/gcc-6, version gcc-6 (Debian 6.3.0-2) 6.3.0 20161229
   SMCFLAGS : -fomit-frame-pointer -mfpmath=sse -O2 -msse2 -fPIC -m64
   SKC      : /usr/bin/gcc-6, version gcc-6 (Debian 6.3.0-2) 6.3.0 20161229
   SKCFLAGS : -fomit-frame-pointer -mfpmath=sse -O2 -msse2 -fPIC -m64

System
------
    python: 2.7.13 (default, Nov 24 2017, 17:33:09)  [GCC 6.3.0 20170516]
   machine: Linux-4.16.0-0.bpo.2-amd64-x86_64-with-debian-9.5
executable: /usr/bin/python2.7

BLAS
----
    macros: HAVE_CBLAS=None, ATLAS_INFO="\"3.10.3\""
cblas_libs: f77blas, cblas, atlas, f77blas, cblas
  lib_dirs: /usr/lib/atlas-base

Python deps
-----------
    Cython: None
     scipy: 0.18.1
setuptools: 33.1.1
       pip: None
     numpy: 1.12.1
    pandas: 0.22.0
   sklearn: 0.20.0