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What is wrong with importing modules into scipy, is this an error?

ok, I don’t think I can explain this problem with words, here is an ipython session fragment where I import scipy to build a sparse matrix.

In [1]: import scipy as sp

In [2]: a = sp.sparse.lil_matrix((5,5))
        ---------------------------------------------------------------------------
        AttributeError                            Traceback (most recent call last)
       /home/liveuser/<ipython-input-2-b5a55fc2d0ac> in <module>()
        ----> 1 a = sp.sparse.lil_matrix((5,5))

        AttributeError: 'module' object has no attribute 'sparse'

In [3]: import scipy.sparse as spar

In [4]: ax = spar.lil_matrix((5,5))

In [5]: a = sp.sparse.lil_matrix((5,5)) # you are kidding me?

In [6]: a
Out[6]: 
       <5x5 sparse matrix of type '<type 'numpy.float64'>'
       with 0 stored elements in LInked List format>

In [7]: ax
Out[7]: 
       <5x5 sparse matrix of type '<type 'numpy.float64'>'
       with 0 stored elements in LInked List format>

what happens there, why it is impossible to create a sparse matrix using sp, the first time I import a sparse submodule in a certain way (as in a fragment), now both sp and spar variables can be used to build sparse matrices. (I think they are just references to the same object)

I reproduced this python default shell (so it is not ipython specific)

what happens is it by design ?? if so kindly detailed. or is it a mistake?

My system is Fedora 16 KDE-scientific, 64-bit.

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Python, SciPy.

from scipy import sparse [as sp]


import scipy.sparse [as sp]

( [] - ).

, import "true", , import as.

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