2012-02-11 59 views
6

當使用鼻子包使用scipy.test()測試scipy時,在安裝了所有香草包的Ubuntu 12.04下,測試失敗。我必須擔心,如果是的話,我該如何解決這個問題?測試SciPy時出錯

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

如果你進去看看吧/usr/lib/python2.7/dist-packages/scipy/ndimage/tests/test_io.py你應該看到:

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)) 

這個測試似乎是測試如果flatten=True RGB圖像轉換成1位灰度圖像。

在我的Ubuntu 11.10系統,但是,dots.png已經是一個1位圖像文件:

% 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 

如果我一個RGBA圖像進行測試(手動),然後測試原理:

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) 

所以我不覺得有什麼嚴重的錯誤在這裏,只是也許dots.png文件被運應該是一個RGB圖像,而不是一個灰度之一。

+0

優秀的答案。您還收到錯誤訊息? – Ingo 2012-02-11 13:56:10

+1

是的,我在Ubuntu 11.10上遇到同樣的錯誤。 – unutbu 2012-02-11 14:26:19