[Numpy-discussion] ANN: Numpy 1.6.0 release candidate 1

Christoph Gohlke cgohlke at uci.edu
Sun May 1 00:11:48 EDT 2011



On 4/30/2011 6:37 PM, Charles R Harris wrote:
>
>
> On Sat, Apr 30, 2011 at 6:50 PM, Christoph Gohlke <cgohlke at uci.edu
> <mailto:cgohlke at uci.edu>> wrote:
>
>
>
>     On 4/30/2011 4:58 PM, Charles R Harris wrote:
>     >
>     >
>     >  On Sat, Apr 30, 2011 at 5:53 PM, Charles R Harris
>     >  <charlesr.harris at gmail.com <mailto:charlesr.harris at gmail.com>
>     <mailto:charlesr.harris at gmail.com
>     <mailto:charlesr.harris at gmail.com>>> wrote:
>     >
>     >  <snip>
>     >
>     >
>     >          I get a null pointer access violation during numpy.test()
>     with all
>     >          msvc9/MKL builds for win32 (not win-amd64). The crash
>     occurs during
>     >          test_result_type() in test_numeric.py and can be reduced
>     to the
>     >          following code:
>     >
>     >  > >> import numpy as np
>     >  > >> np.result_type(np.array([np.float32(0)]), np.complex128(0))
>     >
>     >          np.float64(0) and np.float16(0) also crash. Unfortunately
>     the debug
>     >          builds do not crash.
>     >
>     >      This is new, right?
>     >
>     >
>     >  Does it depend on the optimization level?
>     >
>     >  Chuck
>     >
>
>     Yes it's new. The pure msvc9 builds without MKL also crash. The crash
>     disapperars When compiling with /Od (disable optimization) instead of
>     /Ox (maximum optimization; the default for distutils).
>
>
> So all of np.float16(0), np.float32(0), np.float64(0), etc crash? Does
> it depend at all on 0 as the argument, or is it the same for 1, 0.0,
> etc. What about string arguments like np.float64("0"). I want to pin the
> location down a bit more. Too bad it doesn't crash in the debugger.
>
> Chuck
>

Sorry, I should have been more precise. The crash occurs in 
`numpy.result_type(a, b)` with the following inputs:

b = numpy.complex128(0)
a = numpy.array([numpy.float16(0)])
a = numpy.array([numpy.float32(0)])
a = numpy.array([numpy.float64(0)])

Christoph



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