which is why I am trying to write a slightly
different svd function than the function from "numpy.linalg.svd".
I would appreciate your help, Thank you.
Amir
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library_dirs = /global/homes/amir/local/lib
[lapack]
lapack_libs = sci
library_dirs = /opt/xt-libsci/10.4.0/gnu/lib
[blas_opt]
blas_libs = cblas, sci
libraries = cblas, sci
[lapack_opt]
libraries = sci
[fftw]
libraries = fftw3
Here is what is linked to lapack_lite.so:
% ldd ./numpy/linalg/l
A very beginner question about indexing: let x be an array where n =
len(x). I would like to create a view y of x such that:
y[i] = x[i:i+m,...] for each i and a fixed m << n
so I can do things like numpy.cov(y). With n large, allocating y is a
problem for me. Currently, I either do for loops in
ux environments (after much pain)
with a script that installs all the necessary libraries from source, which will
not work in the Windows environment.
I'm not familiar with Windows, and any help would be greatly appreciated!
Amir
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