[NumPy-Tickets] [NumPy] #1505: load() yields corrupted/incorrect data

[NumPy Trac]

#1505: load() yields corrupted/incorrect data
----------------------+-----------------------------------------------------
 Reporter:  RRosario  |       Owner:  somebody
     Type:  defect    |      Status:  new     
 Priority:  high      |   Milestone:  2.0.0   
Component:  Other     |     Version:          
 Keywords:            |  
----------------------+-----------------------------------------------------
 Using a huge sparse (395000 x 395000) CSC matrix. Tried to save data,
 indptr, indices and shape separately.

 When I try to read back the indices pickle, I get incorrect data:

 >> np.save("indices.pickle", mymatrix.indices)
 >>> indices = np.load("indices.pickle.npy")
 >>> indices
 array([394852, 394649, 394533, ...,      0,      0,      0], dtype=int32)
 >>> mymatrix.indices
 array([394852, 394649, 394533, ...,   1557,   1223,    285], dtype=int32)

 The two arrays are not equal to each other.

-- 
Ticket URL: <http://projects.scipy.org/numpy/ticket/1505>
NumPy <http://projects.scipy.org/numpy>
My example project