2012-02-11 58 views
6

当使用鼻子包使用scipy.test()测试scipy时,在安装了所有香草包的Ubuntu 12.04下,测试失败。我必须担心,如果是的话,我该如何解决这个问题?测试SciPy时出错

In [8]: scipy.test() 
Running unit tests for scipy 
NumPy version 1.5.1 
NumPy is installed in /usr/lib/python2.7/dist-packages/numpy 
SciPy version 0.9.0 
SciPy is installed in /usr/lib/python2.7/dist-packages/scipy 
Python version 2.7.2+ (default, Jan 21 2012, 23:31:34) [GCC 4.6.2] 
nose version 1.1.2 

[................] 

====================================================================== 
FAIL: test_io.test_imread 
---------------------------------------------------------------------- 
Traceback (most recent call last): 
    File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in runTest 
    self.test(*self.arg) 
    File "/usr/lib/python2.7/dist-packages/numpy/testing/decorators.py", line 146, in skipper_func 
    return f(*args, **kwargs) 
    File "/usr/lib/python2.7/dist-packages/scipy/ndimage/tests/test_io.py", line 16, in test_imread 
    assert_array_equal(img.shape, (300, 420, 3)) 
    File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 686, in assert_array_equal 
    verbose=verbose, header='Arrays are not equal') 
    File "/usr/lib/python2.7/dist-packages/numpy/testing/utils.py", line 579, in assert_array_compare 
    raise AssertionError(msg) 
AssertionError: 
Arrays are not equal 

(shapes (2,), (3,) mismatch) 
x: array([300, 420]) 
y: array([300, 420, 3]) 

---------------------------------------------------------------------- 
Ran 3780 tests in 32.328s 

FAILED (KNOWNFAIL=11, SKIP=20, failures=1) 

回答

11

如果你进去看看吧/usr/lib/python2.7/dist-packages/scipy/ndimage/tests/test_io.py你应该看到:

def test_imread(): 
    lp = os.path.join(os.path.dirname(__file__), 'dots.png') 
    img = ndi.imread(lp) 
    assert_array_equal(img.shape, (300, 420, 3)) 

    img = ndi.imread(lp, flatten=True) 
    assert_array_equal(img.shape, (300, 420)) 

这个测试似乎是测试如果flatten=True RGB图像转换成1位灰度图像。

在我的Ubuntu 11.10系统,但是,dots.png已经是一个1位图像文件:

% file /usr/share/pyshared/scipy/ndimage/tests/dots.png 
/usr/share/pyshared/scipy/ndimage/tests/dots.png: PNG image data, 420 x 300, 1-bit colormap, non-interlaced 

如果我一个RGBA图像进行测试(手动),然后测试原理:

In [18]: z = ndi.imread('image.png') 

In [20]: z.shape 
Out[20]: (250, 250, 4) 

In [24]: w = ndi.imread('image.png', flatten = True) 

In [25]: w.shape 
Out[25]: (250, 250) 

所以我不觉得有什么严重的错误在这里,只是也许dots.png文件被运应该是一个RGB图像,而不是一个灰度之一。

+0

优秀的答案。您还收到错误讯息? – Ingo 2012-02-11 13:56:10

+1

是的,我在Ubuntu 11.10上遇到同样的错误。 – unutbu 2012-02-11 14:26:19