Re: [Numpy-discussion] Numpy on AIX 5.3

Marek Wojciechowski wrote: > Hi! > > I'm trying to install numpy-1.1 on AIX 5.3 but i'm getting an error: > > running build > running scons > customize UnixCCompiler > Found executable /usr/bin/cc_r > customize IBMFCompiler > Found executable /usr/bin/xlf90 > Found executable /usr/bin/xlf > Found e

[Numpy-discussion] Numpy on AIX 5.3

Hi! I'm trying to install numpy-1.1 on AIX 5.3 but i'm getting an error: running build running scons customize UnixCCompiler Found executable /usr/bin/cc_r customize IBMFCompiler Found executable /usr/bin/xlf90 Found executable /usr/bin/xlf Found executable /usr/bin/xlf95 Creating /tmp/tmp5j_OiW/

Re: [Numpy-discussion] failure with numpy.inner

On Sat, Jul 5, 2008 at 09:03, Gregor Thalhammer <[EMAIL PROTECTED]> wrote: > After upgrading to NumPy 1.1.0 (I installed > numpy-1.1.0-win32-superpack-pyhon2.5) I observed a fatal failure with > the following code which uses numpy.inner > > import numpy > F = numpy.zeros(shape = (1,79), dtype = num

Re: [Numpy-discussion] NumPy, buffers (PEP 3118), complex floats, and Cython

Dag Sverre Seljebotn wrote: > I'd like some advice for what way people feel would be the best for > supporting complex datatypes in NumPy in Cython; as well as ask in what > way it is likely that NumPy will make use of PEP 3118. > > It seems like NumPy defines its complex data to be a struct of t

[Numpy-discussion] failure with numpy.inner

After upgrading to NumPy 1.1.0 (I installed numpy-1.1.0-win32-superpack-pyhon2.5) I observed a fatal failure with the following code which uses numpy.inner import numpy F = numpy.zeros(shape = (1,79), dtype = numpy.float64) #this suceeds FtF = numpy.inner(F,F.copy()) #this fails FtF = numpy.inne

[Numpy-discussion] NumPy, buffers (PEP 3118), complex floats, and Cython

I'd like some advice for what way people feel would be the best for supporting complex datatypes in NumPy in Cython; as well as ask in what way it is likely that NumPy will make use of PEP 3118. It seems like NumPy defines its complex data to be a struct of two doubles, for instance: typedef s

[Numpy-discussion] ANN: PyTables 2.0.4 released

=== Announcing PyTables 2.0.4 === PyTables is a library for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data with support for full 64-bit file addressing. PyTables runs on top of the HDF5 library

[Numpy-discussion] [numscons] 0.8.1 released

Hi, I am pleased to announce numscons 0.8.1. numscons is a tentative for a new build system for numpy/scipy and other packages depending on numpy.distutils for extension code. You can get it through the usual channels: http://projects.scipy.org/scipy/numpy/wiki/NumScons I did not announce re