[Numpy-discussion] ANN: Numpy 1.6.0 release candidate 2
pearu.peterson at gmail.com
Thu May 5 18:40:25 EDT 2011
On Thu, May 5, 2011 at 11:51 PM, DJ Luscher <djl at lanl.gov> wrote:
> Ralf Gommers <ralf.gommers <at> googlemail.com> writes:
> > Hi,
> > I am pleased to announce the availability of the second release
> > candidate of NumPy 1.6.0.
> > Compared to the first release candidate, one segfault on (32-bit
> > Windows + MSVC) and several memory leaks were fixed. If no new
> > problems are reported, the final release will be in one week.
> > Sources and binaries can be found at
> > http://sourceforge.net/projects/numpy/files/NumPy/1.6.0rc2/
> > For (preliminary) release notes see below.
> > Enjoy,
> > Ralf
> > =========================
> > NumPy 1.6.0 Release Notes
> > =========================
> > Fortran assumed shape array and size function support in ``numpy.f2py``
> > -----------------------------------------------------------------------
> > F2py now supports wrapping Fortran 90 routines that use assumed shape
> > arrays. Before such routines could be called from Python but the
> > corresponding Fortran routines received assumed shape arrays as zero
> > length arrays which caused unpredicted results. Thanks to Lorenz
> > Hüdepohl for pointing out the correct way to interface routines with
> > assumed shape arrays.
> > In addition, f2py interprets Fortran expression ``size(array, dim)``
> > as ``shape(array, dim-1)`` which makes it possible to automatically
> > wrap Fortran routines that use two argument ``size`` function in
> > dimension specifications. Before users were forced to apply this
> > mapping manually.
> Regarding the f2py support for assumed shape arrays:
> I'm just struggling along trying to learn how to use f2py to interface with
> fortran source, so please be patient if I am missing something obvious.
> said, in test cases I've run the new f2py assumed-shape-array support in
> 1.6.0.rc2 seems to conflict with the support for f90-style modules. For
> ! -*- fix -*-
> module easy
> real, parameter :: anx(4) = (/1.,2.,3.,4./)
> subroutine sum(x, res)
> implicit none
> real, intent(in) :: x(:)
> real, intent(out) :: res
> integer :: i
> !print *, "sum: size(x) = ", size(x)
> res = 0.0
> do i = 1, size(x)
> res = res + x(i)
> end subroutine sum
> end module easy
> when compiled with:
> f2py -c --fcompiler=intelem foo_mod.f90 -m e
> import e
> print e.easy.sum(e.easy.anx)
> returns: 0.0
> Also (and I believe related) f2py can no longer compile source with assumed
> shape array valued functions within a module. Even though the python
> code did not function properly when called from python, it did work when
> from other fortran code. It seems that the interface has been broken. The
> previous version of Numpy I was using was 1.3.0 all on Ubuntu 10.04, Python
> and using Intel fortran compiler.
> thanks for your consideration and feedback.
Thanks for the bug report!
These issues are now fixed in:
Ralf, feel free to apply this changeset to 1.6.x branch if appropriate.
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