Source: scikit-learn
Version: 0.17.0-4
Severity: serious
Justification: fails to build from source
User: reproducible-builds@lists.alioth.debian.org
Usertags: ftbfs
X-Debbugs-Cc: reproducible-builds@lists.alioth.debian.org

Dear Maintainer,

scikit-learn fails to build from source in unstable/amd64:

  [..]

  ======================================================================
  ERROR: Failure: RuntimeError (lena() is no longer included in SciPy, please 
use ascent() or face() instead)
  ----------------------------------------------------------------------
  Traceback (most recent call last):
    File "/usr/lib/python2.7/dist-packages/nose/loader.py", line 418, in 
loadTestsFromName
      addr.filename, addr.module)
    File "/usr/lib/python2.7/dist-packages/nose/importer.py", line 47, in 
importFromPath
      return self.importFromDir(dir_path, fqname)
    File "/usr/lib/python2.7/dist-packages/nose/importer.py", line 94, in 
importFromDir
      mod = load_module(part_fqname, fh, filename, desc)
    File 
"/home/lamby/temp/cdt.20160204180950.0RoDBXRDO7/scikit-learn-0.17.0/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_image.py",
 line 106, in <module>
      downsampled_lena = _downsampled_lena()
    File 
"/home/lamby/temp/cdt.20160204180950.0RoDBXRDO7/scikit-learn-0.17.0/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_image.py",
 line 78, in _downsampled_lena
      lena = sp.misc.lena().astype(np.float32)
    File "/usr/lib/python2.7/dist-packages/scipy/misc/common.py", line 376, in 
lena
      raise RuntimeError('lena() is no longer included in SciPy, please use '
  RuntimeError: lena() is no longer included in SciPy, please use ascent() or 
face() instead
  
  ======================================================================
  ERROR: 
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', 
<class 
'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>)
  ----------------------------------------------------------------------
  Traceback (most recent call last):
    File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
      self.test(*self.arg)
    File 
"/home/lamby/temp/cdt.20160204180950.0RoDBXRDO7/scikit-learn-0.17.0/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py",
 line 318, in wrapper
      return fn(*args, **kwargs)
    File 
"/home/lamby/temp/cdt.20160204180950.0RoDBXRDO7/scikit-learn-0.17.0/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py",
 line 677, in check_estimators_dtypes
      getattr(estimator, method)(X_train)
    File 
"/home/lamby/temp/cdt.20160204180950.0RoDBXRDO7/scikit-learn-0.17.0/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/base.py",
 line 76, in transform
      mask = self.get_support()
    File 
"/home/lamby/temp/cdt.20160204180950.0RoDBXRDO7/scikit-learn-0.17.0/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/base.py",
 line 47, in get_support
      mask = self._get_support_mask()
    File 
"/home/lamby/temp/cdt.20160204180950.0RoDBXRDO7/scikit-learn-0.17.0/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/univariate_selection.py",
 line 708, in _get_support_mask
      return selector._get_support_mask()
    File 
"/home/lamby/temp/cdt.20160204180950.0RoDBXRDO7/scikit-learn-0.17.0/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/univariate_selection.py",
 line 407, in _get_support_mask
      kept_ties = ties[:max_feats - mask.sum()]
  IndexError: invalid slice
  
  ======================================================================
  FAIL: sklearn.tests.test_isotonic.test_isotonic_regression_auto_decreasing
  ----------------------------------------------------------------------
  Traceback (most recent call last):
    File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
      self.test(*self.arg)
    File 
"/home/lamby/temp/cdt.20160204180950.0RoDBXRDO7/scikit-learn-0.17.0/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_isotonic.py",
 line 169, in test_isotonic_regression_auto_decreasing
      y_ = assert_no_warnings(ir.fit_transform, x, y)
    File 
"/home/lamby/temp/cdt.20160204180950.0RoDBXRDO7/scikit-learn-0.17.0/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py",
 line 280, in assert_no_warnings
      % (func.__name__, w))
  AssertionError: Got warnings when calling fit_transform: 
[<warnings.WarningMessage object at 0x7fd26250c710>, <warnings.WarningMessage 
object at 0x7fd26250c750>, <warnings.WarningMessage object at 0x7fd26250c790>, 
<warnings.WarningMessage object at 0x7fd26250c7d0>]
  
  ======================================================================
  FAIL: sklearn.tests.test_isotonic.test_isotonic_regression_auto_increasing
  ----------------------------------------------------------------------
  Traceback (most recent call last):
    File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest
      self.test(*self.arg)
    File 
"/home/lamby/temp/cdt.20160204180950.0RoDBXRDO7/scikit-learn-0.17.0/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_isotonic.py",
 line 183, in test_isotonic_regression_auto_increasing
      y_ = assert_no_warnings(ir.fit_transform, x, y)
    File 
"/home/lamby/temp/cdt.20160204180950.0RoDBXRDO7/scikit-learn-0.17.0/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py",
 line 280, in assert_no_warnings
      % (func.__name__, w))
  AssertionError: Got warnings when calling fit_transform: 
[<warnings.WarningMessage object at 0x7fd26250c790>, <warnings.WarningMessage 
object at 0x7fd26250c890>, <warnings.WarningMessage object at 0x7fd262506110>, 
<warnings.WarningMessage object at 0x7fd262506150>]
  
  ----------------------------------------------------------------------
  Ran 5307 tests in 121.738s
  
  FAILED (SKIP=14, errors=2, failures=2)
  Optimization terminated successfully.
           Current function value: 0.000000
           Iterations: 10
           Function evaluations: 11
           Gradient evaluations: 20
           Hessian evaluations: 40
  debian/rules:53: recipe for target 'python-test2.7' failed
  make[1]: *** [python-test2.7] Error 1
  make[1]: Leaving directory 
'/home/lamby/temp/cdt.20160204180950.0RoDBXRDO7/scikit-learn-0.17.0'
  debian/rules:31: recipe for target 'binary' failed
  make: *** [binary] Error 2

  [..]

The full build log is attached.


Regards,

-- 
      ,''`.
     : :'  :     Chris Lamb
     `. `'`      la...@debian.org / chris-lamb.co.uk
       `-

Attachment: scikit-learn.0.17.0-4.unstable.amd64.log.txt.gz
Description: Binary data

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