Hi, with the standard ubuntu version (1.2.1), I get
>>> a=np.zeros(0x800000,dtype='b1') # OK >>> a=np.zeros(0x80000000,dtype='b1') TypeError: data type not understood >>> a=np.zeros(0x80000000,dtype=bool) ValueError: negative dimensions are not allowed while with 1.4.0.dev7375, I get >>> a=np.zeros(0x80000000,dtype='b1') # (both 'b1'and bool give the same result) ValueError: Maximum allowed dimension exceeded I think it might have something to do with the fact that in a 32bit machine (like mine, what about yours?) the default int is 32bit. An int32 with value 0x80000000 has the sign bit set and is actually -2**31. In fact with a different machine (64bit ubuntu, numpy 1.2.1), it works >>> a=np.zeros(0x80000000,dtype='b1') # OK In any case, with a 32bit machine you could not address such a big array anyway. Best, Luca _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
