[Numpy-discussion] Release candidate 3 for NumPy 1.4.1 and SciPy 0.7.2

Matthieu Brucher matthieu.brucher@gmail....
Mon Apr 19 03:10:20 CDT 2010


BTW, there still is an error with ifort, so scipy is still
incompatible with the Intel compilers (which is at least very sad...)

Matthieu

2010/4/19 Matthieu Brucher <matthieu.brucher@gmail.com>:
> Hi,
>
> I'm trying to compile scipy with ICC (numpy got through correctly),
> but I have issue with infinites in cephes:
>
> icc: scipy/special/cephes/const.c
> scipy/special/cephes/const.c(94): error: floating-point operation
> result is out of range
>  double INFINITY = 1.0/0.0;  /* 99e999; */
>                       ^
>
> scipy/special/cephes/const.c(99): error: floating-point operation
> result is out of range
>  double NAN = 1.0/0.0 - 1.0/0.0;
>                  ^
>
> scipy/special/cephes/const.c(99): error: floating-point operation
> result is out of range
>  double NAN = 1.0/0.0 - 1.0/0.0;
>                            ^
>
> compilation aborted for scipy/special/cephes/const.c (code 2)
> scipy/special/cephes/const.c(94): error: floating-point operation
> result is out of range
>  double INFINITY = 1.0/0.0;  /* 99e999; */
>                       ^
>
> scipy/special/cephes/const.c(99): error: floating-point operation
> result is out of range
>  double NAN = 1.0/0.0 - 1.0/0.0;
>                  ^
>
> scipy/special/cephes/const.c(99): error: floating-point operation
> result is out of range
>  double NAN = 1.0/0.0 - 1.0/0.0;
>                            ^
>
> compilation aborted for scipy/special/cephes/const.c (code 2)
>
> Matthieu
>
> 2010/4/19 Sebastian Haase <seb.haase@gmail.com>:
>> Hi,
>> Congratulations. I might be unnecessarily dense - but what SciPy am I
>> supposed to use with the new numpy 1.4.1 for Python 2.5? I'm surprised
>> that there are no SciPy 0.7.2 binaries for Python 2.5 - is that
>> technically not possible ?
>>
>> Thanks,
>> Sebastian Haase
>>
>> On Mon, Apr 19, 2010 at 6:25 AM, Ralf Gommers
>> <ralf.gommers@googlemail.com> wrote:
>>> Hi,
>>>
>>> I am pleased to announce the third release candidate of both Scipy 0.7.2 and
>>> NumPy 1.4.1. Please test, and report any problems on the NumPy or SciPy
>>> list.
>>>
>>> Binaries, sources and release notes can be found at
>>> https://sourceforge.net/projects/numpy/files/
>>> https://sourceforge.net/projects/scipy/files/
>>>
>>>
>>> Changes from RC2
>>> ==============
>>> SciPy: warnings about possible binary incompatibilities with numpy have been
>>> suppressed
>>> NumPy: - fixed compatibility with Python 2.7b1
>>>        - marked test for complex log as a known failure
>>>
>>>
>>> NumPy 1.4.1
>>> ==========
>>> The main change over 1.4.0 is that datetime support has been removed. This
>>> fixes the binary incompatibility issues between NumPy and other libraries
>>> like SciPy and Matplotlib.
>>>
>>> There are also a number of other bug fixes, and no new features.
>>>
>>> Binaries for Python 2.5 and 2.6 are available for both Windows and OS X.
>>>
>>>
>>> SciPy 0.7.2
>>> =========
>>> The only change compared to 0.7.1 is that the C sources for Cython code have
>>> been regenerated with Cython 0.12.1. This ensures that SciPy 0.7.2 will work
>>> with NumPy 1.4.1, while also retaining backwards compatibility with NumPy
>>> 1.3.0.
>>>
>>> Note that the 0.7.x branch was created in January 2009, so a lot of fixes
>>> and new functionality in current trunk is not present in this release.
>>>
>>> Binaries for Python 2.6 are available for both Windows and OS X. Due to the
>>> age of the code no binaries for Python 2.5 are available.
>>>
>>>
>>> On behalf of the NumPy and SciPy developers,
>>> Ralf
>>>
>>> _______________________________________________
>>> NumPy-Discussion mailing list
>>> NumPy-Discussion@scipy.org
>>> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>>>
>>>
>> _______________________________________________
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>> NumPy-Discussion@scipy.org
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>>
>
>
>
> --
> Information System Engineer, Ph.D.
> Blog: http://matt.eifelle.com
> LinkedIn: http://www.linkedin.com/in/matthieubrucher
>



-- 
Information System Engineer, Ph.D.
Blog: http://matt.eifelle.com
LinkedIn: http://www.linkedin.com/in/matthieubrucher


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