TriAnalyzer.scale_factors() has mismatched boolean indexes #4999

/nas/home/broot/centos6/lib/python2.7/site-packages/matplotlib-1.5.dev1-py2.7-linux-x86_64.egg/matplotlib/tri/tritools.py:52: VisibleDeprecationWarning: boolean index did not match indexed array along dimension 0; dimension is 5 but corresponding boolean dimension is 4
  x = self._triangulation.x[node_used]
/nas/home/broot/centos6/lib/python2.7/site-packages/matplotlib-1.5.dev1-py2.7-linux-x86_64.egg/matplotlib/tri/tritools.py:53: VisibleDeprecationWarning: boolean index did not match indexed array along dimension 0; dimension is 5 but corresponding boolean dimension is 4
  y = self._triangulation.y[node_used]

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ERROR: __main__.test_tritools
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Traceback (most recent call last):
  File "/nas/home/broot/centos6/lib/python2.7/site-packages/nose-1.1.2-py2.7.egg/nose/case.py", line 197, in runTest
    self.test(*self.arg)
  File "lib/matplotlib/tests/test_triangulation.py", line 834, in test_tritools
    assert_array_almost_equal(analyser.scale_factors,
  File "/nas/home/broot/centos6/lib/python2.7/site-packages/matplotlib-1.5.dev1-py2.7-linux-x86_64.egg/matplotlib/tri/tritools.py", line 55, in scale_factors
    len(node_used)))
ValueError: len of nodes does not match node_used. 5 vs. 4

def test_tritools():
    # Tests TriAnalyzer.scale_factors on masked triangulation
    # Tests circle_ratios on equilateral and right-angled triangle.
    x = np.array([0., 1., 0.5, 0., 2.])
    y = np.array([0., 0., 0.5*np.sqrt(3.), -1., 1.])
    triangles = np.array([[0, 1, 2], [0, 1, 3], [1, 2, 4]], dtype=np.int32)
    mask = np.array([False, False, True], dtype=np.bool)
    triang = mtri.Triangulation(x, y, triangles, mask=mask)
    analyser = mtri.TriAnalyzer(triang)
    assert_array_almost_equal(analyser.scale_factors,
                              np.array([1., 1./(1.+0.5*np.sqrt(3.))]))
   <snip>