Mailman 3 March 2002 - SciPy-User

ATLAS > 3.3.13
by Nils Wagner 16 May '02

16 May '02

Hi, The latest stable version of ATLAS is 3.2.1. 3.3.5- 3.3.14 are Developer (unstable) versions. Does it make sense to install an unstable version ? Nils

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ATLAS
by Nils Wagner 26 Mar '02

26 Mar '02

Pearu, There is a remarkable change in the size of liblapack.a -rw-r--r-- 1 root root 310528 Mär 26 12:06 liblapack.a -rw-r--r-- 1 root root 5920822 Feb 27 14:26 liblapack.a.old liblapack.a.old (ATLAS3.2.1) liblapack.a (ATLAS3.3.13) Nils

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Test cases for expm
by Travis Oliphant 26 Mar '02

26 Mar '02

The test cases Nils posted recently work fine for me. As expected expm2 does not work well (nor does funm) for the badly conditioned matrix obtained during that computation. expm and expm3 agree and look good. Thanks for the tests. If you are still having trouble, consider removing the build directory and starting again. The error Nils showed was fixed only a few hours ago, and so you should update your CVS copy. -Travis

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Linalg should work in latest CVS tree with latest f2py
by Travis Oliphant 26 Mar '02

26 Mar '02

Users, There has been some difficulty with the linalg subpackage and the newest f2py (particularly effecting people who wanted to use matrix exponential algorithm). This has been resolved. You have two options. If your ATLAS is older than 3.3.13 and you don't want to upgrade your ATLAS installation (e.g. because it takes awhile to compile binaries), then you can get the latest CVS, build scipy, and use the linalg algorithms. If you want to go ahead and get ATLAS > 3.3.13 then you can use linalg2 (not imported by default --- you have to specifically import it (e.g. import scipy.linalg2 as linalg2) Not all algorithms are in linalg2 as of yet, but it won't be long. Thanks for your patience. -Travis Oliphant

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Default functions return complex numbers
by Travis Oliphant 26 Mar '02

26 Mar '02

The functions immediately under the scipy namespace now return complex numbers when necessary. For example: scipy.log(-1) returns pi*1j scipy.sqrt(-1) returns 1j The old behavior for those routines is available as scipy.fastumath.log scipy.fastumath.sqrt etc. -Travis O.

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FFTW no longer required
by Travis Oliphant 26 Mar '02

26 Mar '02

In recent versions of the SciPy CVS tree, FFTW is no longer required. It is not built by default and FFTPACK is used instead for fft algorithms. This results in a 5~25% slowdown for fft computations (particularly if your image sizes are products of large prime numbers >5). You can still build the fftw interface by modifying setup.py. -Travis

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vode.so: undefined symbol: f2py_report_on_exit
by Nils Wagner 25 Mar '02

25 Mar '02

After installing the latest SciPy via CVS this is what happens when I start a small test program for matrix functions >python Python 2.1.2 (#1, Feb 25 2002, 18:04:21) [GCC 2.95.3 20010315 (SuSE)] on linux2 Type "copyright", "credits" or "license" for more information. >>> from scipy import * /usr/local/lib/python2.1/site-packages/scipy/integrate/vode.so: undefined symbol: f2py_report_on_exit >>> Any idea ? Nils

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Problem with Mplt.py in non-interactive use
by a.schmolck＠gmx.net 22 Mar '02

22 Mar '02

Hi, I've got a problem with Mplot that I find somewhat baffling: what works fine in interactively on a step-by-step basis doesn't necessarily in non-interactive sessions. For example the following code-fragement will do what one would expect if one executes it line by line (i.e. it draws a plot, then waits the specified time). If I execute it as a whole with "python TestMplot.py", however, it doesn't plot anything, it just fires up an empty window that stays empty (despite the fact that the sleep commands should give any hypothetical concurrent process plenty of time to do whatever it wants). If I use py-shell from emacs or python "-i TestMplot.py", the same happens, except that once the interactive prompt comes back something is actually plotted. I also experienced the more serious problem that something that worked step-by-step in an interactive plot causes: gist.error: Gist GdLines plotter failed after which all line plotting fails... Any idea why that might be the case and what could be done about it? I currently really fail to see what might be going on... ----TestMplot.py---- from scipy.xplt import Mplot as plt import time from Numeric import * print "TESTING" plt.plot([1,2,3], [1,2,3]) time.sleep(2) plt.plot([1,2,3], [1,2,3], "gx") time.sleep(2) plt.plot([1,2,3], [1,2,3], "gx", [1,2,3], [4,6,7], "r-") time.sleep(2) plt.imagesc(reshape(arange(12), (3,4))) time.sleep(5) -------------------- Thanks, alex P.S.: I'm using a recent (last week's, I think) CVS version of scipy -- Alexander Schmolck Postgraduate Research Student Department of Computer Science University of Exeter A.Schmolck(a)gmx.net http://www.dcs.ex.ac.uk/people/aschmolc/

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ANN: IPython 0.2.8
by Fernando Perez 19 Mar '02

19 Mar '02

Hi folks, I've put up a new release of IPython which incorporates many recent fixes and improvements which may be of interest to the scipy crowd. Since there's been interest in using IPython as part of scipy as a user front-end, I'd appreciate comments/suggestions from you. There have already been many useful ones, which I've tried to respond to and incorporate whenever feasible. For those who aren't familiar with what IPython is, some info follows. * WHERE: http://www-hep.colorado.edu/~fperez/ipython * NEW since last public release (ChangeLog included with full details): - Full Emacs integration. Now IPython can be used both in Emacs shell/term buffers and also as your Python interpreter (with C-c !). Instructions on the necessary code for your .emacs file provided. - Interface to Gnuplot. This can be used as a template for interfacing with any other program which one can communicate with (via pipes, sockets, whatever). If anyone cares to do it, it might be nice to implement a MathLink channel for Mathematica, for example. - Many improvements to the embedding facilities. It's now possible to have nested copies of IPython running (such as debugging code with embedded IPython inside IPython itself). Global and local locks for the embedded instances provided to control them better, and the user prompts can be modified for each embedded instance. - Improved macro system for automatically re-executing many lines of previous input. - Better control for running other programs inside IPython via @run. - New -upgrade command line option for old users to update their .ipython/ directory automatically. - Many small bugfixes, documentation very updated. * WHAT is IPython? (this is just for context. See the webpage for full details). IPython tries to: 1. Provide an interactive interpreter superior to Python's default. IPython has many features for object introspection, shell access, and its own special command system for adding functionality when working interactively. 2. Serve as an embeddable, ready to use interpreter for your own programs. IPython can be started with a single call from inside another program, providing access to the current namespace. This can be very useful both for debugging purposes and for situations where a blend of batch-processing and interactive exploration are needed. 3. Offer a flexible framework which can be used as the base environment for other systems with Python as the underlying language. Specifically scientific environments like Mathematica, IDL and Matlab inspired its design, but similar ideas can be useful in many fields. * PORTABILITY: Linux (and other unices, including Mac OSX), Windows XP. Should run fine on all WinNT/2K, and probably also on Win9x (I can't test this). * PYTHON VERSION: requires 2.1 or newer. * LICENSE: LGPL (a few files from third parties carry MIT licenses). Note that for the next major release (which will include an internal rewrite), I've already discussed with Eric a licensing change to bring it in line with SciPy. So please consider this to be a non-issue. Cheers, Fernando Perez.

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by MG Publishing 17 Mar '02

17 Mar '02

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