Mailman 3 April 2004 - SciPy-User

problems finding fftw
by John Hunter April 14, 2004

April 14, 2004

I am building scipy from CVS, checked out last night, and am having trouble getting it to find fftw. I built fftw 502 cd /usr/local/src/ 504 tar xvfz ~jdhunter/c/src/fftw-2.1.3.tar.gz 505 cd fftw-2.1.3/ 507 configure --enable-i386-hacks --enable-threadss 554 make clean 556 configure --enable-threads --enable-float --enable-i386-hacks 557 make 558 make install and it is installed to /usr/local peds-pc311:/var/tmp/builds/scipy> ls -l /usr/local/lib/libfftw* -rw-r--r-- 1 root root 952600 Apr 12 17:47 /usr/local/lib/libfftw3.a -rw-r--r-- 1 root root 950986 Apr 12 17:45 /usr/local/lib/libfftw3f.a -rwxr-xr-x 1 root root 664 Apr 12 17:45 /usr/local/lib/libfftw3f.la -rw-r--r-- 1 root root 26782 Apr 12 17:44 /usr/local/lib/libfftw3f_threads.a -rwxr-xr-x 1 root root 688 Apr 12 17:44 /usr/local/lib/libfftw3f_threads.la -rwxr-xr-x 1 root root 661 Apr 12 17:47 /usr/local/lib/libfftw3.la -rw-r--r-- 1 root root 26648 Apr 12 17:46 /usr/local/lib/libfftw3_threads.a -rwxr-xr-x 1 root root 685 Apr 12 17:46 /usr/local/lib/libfftw3_threads.la I set my fftw environment var and edited scipy_core/scipy_distutils/site.cfg peds-pc311:/var/tmp/builds/scipy> setenv | grep -i fftw FFTW=/usr/local/lib peds-pc311:/var/tmp/builds/scipy> grep fftw scipy_core/scipy_distutils/site.cfg [fftw] fftw_libs = fftw3, fftw3f fftw_opt_libs = fftw3_threads, fftw3f_threads # if the above aren't found, look for {s,d}fftw_libs and {s,d}fftw_opt_libs Is site.cfg supposed to remain in scipy_core/scipy_distutils? But when I build I get fftw not found peds-pc311:/var/tmp/builds/scipy> python setup.py clean fftw_info: NOT AVAILABLE dfftw_info: NOT AVAILABLE Any idea what is going wrong? John Hunter

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scipy.test failed!
by Laurent Claustre April 14, 2004

April 14, 2004

I've installed SciPy-0.2.0_alpha_200.4161 which works fine, BUT the test failed: python -c "import scipy; scipy.test()" Traceback (most recent call last): File "<string>", line 1, in ? File "__init__.py", line 109, in test File "__init__.py", line 116, in test_suite ImportError: No module named testing there is no file named testing.py available into scipy_test/ install directory but only a scipy_test module. Is the installation failed or some files are missing ? Cheers. -- /===============================================================\ | Laurent Claustre | eMail: claustre(a)esrf.fr | | BeamLine Instrument Software | Phone: +33 (0)476 88 29 12 | | Support Group (BLISS) | Fax : +33 (0)476 88 25 42 | | www.esrf.fr/computing/bliss | Web : www.esrf.fr | | Experiments Division | Central Building Room 150 | | ------------------------------------------------------------- | | European Synchrotron Radiation Facility | | 6 rue Jules Horowitz BP220 38042 Grenoble Cedex - France | \===============================================================/

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Matlab function rem in scipy ??
by Nils Wagner April 6, 2004

April 6, 2004

Dear experts, R = rem(X,Y) if Y ~= 0, returns X - n.*Y where n = fix(X./Y). If Y is not an integer and the quotient X./Y is within roundoff error of an integer, then n is that integer. By convention, rem(X,0) is NaN. The inputs X and Y must be real arrays of the same size, or real scalars. So long as operands X and Y are of the same sign, the statement rem(X,Y) returns the same result as does mod(X,Y). However, for positive X and Y, rem(-X,Y) = mod(-X,Y)-Y The rem function returns a result that is between 0 and sign(X)*abs(Y). If Y is zero, rem returns NaN. Is there any comparable function in scipy ? Nils

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Re: random variates
by Brian Gue April 6, 2004

April 6, 2004

Thanks for the help; I downloaded the April 1 package and the docstrings are much better. Still having some problems, though. Triangular is straightforward: >>>from scipy import stats >>>triangRV = stats.triang(.7, loc=0, scale=2) >>>triangRV.rvs(10) array([ 0.6086996 , 1.30631752, 0.60636975, 0.8502878 , 1.2694698 , 0.79918653, 1.51063519, 1.12854753, 1.35386416, 0.63519953]) >>> But truncated normal is not: >>>truncnormRV = stats.truncnorm(0, 0.7, loc=0, scale=2) >>>truncnormRV.rvs(10) Traceback (most recent call last): File "<stdin>", line 1, in ? File "C:\Python23\Lib\site-packages\scipy\stats\distributions.py", line 125, in rvs return self.dist.rvs(*self.args,**kwds) File "C:\Python23\Lib\site-packages\scipy\stats\distributions.py", line 440, in rvs vals = reshape(self._rvs(*args),size) TypeError: _rvs() takes exactly 1 argument (3 given) >>> Any idea where I'm going wrong? Brian --Travis E. Oliphant wrote: > >The help should be better now. > >ie. > >scipy.info(scipy.stats.triang) > >... _________________________________________________________________ Free yourself from those irritating pop-up ads with MSn Premium. Get 2months FREE* http://join.msn.com/?pgmarket=en-ca&page=byoa/prem&xAPID=1994&DI=1034&SU=ht…

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random variates
by Brian Gue April 3, 2004

April 3, 2004

Hi, Are there examples of usage of the statistics functions? I'm specifically looking for samples using scipy.stats.truncnorm and scipy.stats.triang. Thanks, Brian _________________________________________________________________ MSN Premium with Virus Guard and Firewall* from McAfee® Security : 2 months FREE* http://join.msn.com/?pgmarket=en-ca&page=byoa/prem&xAPID=1994&DI=1034&SU=ht…

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scipy.linalg.basic.LinAlgError: generalized eig algorithm did not converge
by Nils Wagner April 2, 2004

April 2, 2004

Dear experts, How can I intercept this error. Traceback (most recent call last): File "himanshu.py", line 175, in ? w = linalg.eig(A,B,left=0,right=0) File "/usr/local/lib/python2.3/site-packages/scipy/linalg/decomp.py", line 109, in eig return _geneig(a1,b,left,right,overwrite_a,overwrite_b) File "/usr/local/lib/python2.3/site-packages/scipy/linalg/decomp.py", line 60, in _geneig if info>0: raise LinAlgError,"generalized eig algorithm did not converge" scipy.linalg.basic.LinAlgError: generalized eig algorithm did not converge I am using linalg.eig several times within a loop and I would like to continue the computation. A small scipy code would be appreciated. What is the reason for this convergence problem ? Thanks in advance Nils

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