Cython and NumPy record dtypes breaks with NumPy 1.6
|Reported by:||dagss||Owned by:||somebody|
Description (last modified by mark)
From ML. The breakage is due to upgrading to NumPy? 1.6.
Upon upgrading to Ubuntu Oneiric (with Cython 1.14.1), I was extremely disappointed when I found that my data analysis tools would refuse to run. In particular, numpy array creation of some dtypes would fail with the perplexing error, Traceback (most recent call last): File "photon_tools/test.py", line 4, in <module> b = bp.bin_photons(a['t'], 1) File "bin_photons.pyx", line 21, in photon_tools.bin_photons.bin_photons (photon_tools/bin_photons.c:1179) cdef np.ndarray[Bin] chunk ValueError: Buffer packing mode currently only allowed at beginning of format string (this is a defect) This, despite the fact that I have not specified any explicit packing modes in my dtypes. I am also able to reproduce this with the latest Cython release. Strangely enough, a similar datatype had no such issue. While allocations of the type strobe_event_dtype, cdef packed struct StrobeEvent: np.uint64_t time np.uint8_t channels strobe_event_dtype = np.dtype([('t', np.uint64), ('chs', np.uint8)]) succeed, allocations of type bin_dtype, cdef packed struct Bin: np.uint64_t start_t np.uint16_t count bin_dtype = np.dtype([('start_t', np.uint64), ('count', np.uint16)]) consistently fail with the above error. Looking at the resulting dtype objects, the only difference I can see is the type of the 'chs' field is translated into '|u1' whereas 'count' is translated into '<u2'. Perhaps this '<' modifier is the cause of the failure. It seems to me that my code is quite idiomatic, yet I've seen no other reports of this failure. What am I doing wrong?
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