scikit-umfpack
scikit-umfpack provides wrapper of UMFPACK sparse direct solver to SciPy.
Usage:
`python >>> from scikits.umfpack import spsolve, splu >>> lu = splu(A) >>> x = spsolve(A, b) `
Installing scikits.umfpack also enables using UMFPACK solver via some of the scipy.sparse.linalg functions, for SciPy >= 0.14.0. Note you will need to have installed UMFPACK before hand. UMFPACK is parse of [SuiteSparse](http://faculty.cse.tamu.edu/davis/suitesparse.html).
Dependencies
scikit-umfpack depends on NumPy, SciPy, SuiteSparse, and swig is a build-time dependency.
Building SuiteSparse
SuiteSparse may be available from your package manager or as a prebuilt shared library. If that is the case use that if possible. Installation on Ubuntu 14.04 can be achieved with
` sudo apt-get install libsuitesparse-dev `
Otherwise, you will need to build from source. Unfortunately, SuiteSparse’s makefiles do not support building a shared library out of the box. You may find [Stefan Fürtinger instructions helpful](http://fuertinger.lima-city.de/research.html#building-numpy-and-scipy).
Furthmore, building METIS-4.0, an optional but important compile time dependency of SuiteSparse, has problems on newer GCCs. This [patch and instructions](http://www.math-linux.com/mathematics/linear-systems/article/how-to-patch-metis-4-0-error-conflicting-types-for-__log2) from Nadir Soualem are helpful for getting a working METIS build.
Otherwise, I commend you to the documentation.
Install
This package uses distutils, which is the default way of installing python modules. In the directory scikit-umfpack (the same as the file you are reading now) do:
` python setup.py install `
or for a local installation:
` python setup.py install --root=<DIRECTORY> `
Development
Code
You can check the latest sources with the command:
` git clone https://github.com/scikit-umfpack/scikit-umfpack.git `
or if you have write privileges:
` git clone git@github.com:scikit-umfpack/scikit-umfpack.git `
Testing
After installation, you can launch the test suite from outside the source directory (you will need to have the nose package installed):
` nosetests -v scikits.umfpack `
1 maintainer
Metadata
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Release files for scikit-umfpack 0.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scikit-umfpack-0.2.3.tar.gz | 22.8 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scikit_umfpack-0.2.3-cp35-cp35m-macosx_10_6_intel.whl | CPython 3.5 | CPython 3.5 pymalloc | macOS 10.6+ Intel (x86-64, i386) | Details |
| scikit_umfpack-0.2.3-cp34-cp34m-macosx_10_6_intel.whl | CPython 3.4 | CPython 3.4 pymalloc | macOS 10.6+ Intel (x86-64, i386) | Details |
| scikit_umfpack-0.2.3-cp27-none-macosx_10_6_intel.whl | CPython 2.7 | none | macOS 10.6+ Intel (x86-64, i386) | Details |
Total release size: 416.4 kB
Release files / scikit-umfpack-0.2.3.tar.gz
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Release files / scikit_umfpack-0.2.3-cp35-cp35m-macosx_10_6_intel.whl
| Download URL | scikit_umfpack-0.2.3-cp35-cp35m-macosx_10_6_intel.whl |
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Release files / scikit_umfpack-0.2.3-cp34-cp34m-macosx_10_6_intel.whl
| Download URL | scikit_umfpack-0.2.3-cp34-cp34m-macosx_10_6_intel.whl |
|---|---|
| Size | 151.1 kB |
| Tags | CPython 3.4 CPython 3.4 pymalloc macOS 10.6+ Intel (x86-64, i386) |
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Release files / scikit_umfpack-0.2.3-cp27-none-macosx_10_6_intel.whl
| Download URL | scikit_umfpack-0.2.3-cp27-none-macosx_10_6_intel.whl |
|---|---|
| Size | 146.3 kB |
| Tags | CPython 2.7 macOS 10.6+ Intel (x86-64, i386) |
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