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.bruc...@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.ha...@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.gomm...@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 >>> >>> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> > > > > -- > 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 _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
