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InstallationInstallationInstallationInstallation

Dependencies:

Python-2.6 / 2.7

Numpy (>1.6.1 for the solver DASP3)

Scipy

Pylab

Additional dependencies for compiling from source:

Python-2.6 / 2.7 with headers (python-dev package for Ubuntu)

Sundials-2.4/2.5 (for 64bits machines, install Sundials using -fPIC)

Cython 0.15

C compiler

Fortran compiler

BLAS (only needed for the solver GLIMDA)

LAPACK (only needed for the solver GLIMDA)

Assimulo is found on the Downloadpage.

Installation flagsInstallation flagsInstallation flagsInstallation flags

When installing Assimulo from source there are a number of available flags that can be specified in order

to point to dependencies and which should be provided after the install command:

python setup.py install ...

The available flags are:

- "--sundials-home=..." - Point to an Sundials installation

- "--blas-home=..." - Point to an BLAS installation

- "--lapack-home=..." - Point to an LAPACK installation

Example:

python setup.py install --sundials-home=/home/chria/Sundials --blas-home=/home/chria/Blas

UbuntuUbuntuUbuntuUbuntu

Once all the dependencies are satisfied an installation is done by:

python setup.py install

After a successful installation, the package will be located in Pythons dist-packages folder. For

troubleshooting see Troubleshooting.

NoteNoteNoteNote

If Sundials has been installed on a different location then the default, use the sundials flag:

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--sundials-home=/path/to/sundials

NoteNoteNoteNote

To test Assimulo, go into the tests folder and type:

nosetests

Which requires python-nose.

WindowsWindowsWindowsWindows

For installing on Windows it is recommended to download the binary installers from the Downloadpage

which includes all the solvers available. The below instructions are for installing Assimulo on Windows

from source.

NoteNoteNoteNote

Assimulo is also dependent on the Windows redistributable package for Windows.

Installing Sundials on Windows can be a bit tricky but here is a link for installing Sundials using cmake

together with Visual Studio, http://sundials.wikidot.com/installation-cmake-vs . However I would

recommend using Mingw instead of Visual Studio, here is link for installing Mingw on Windows and

setting up Cython to use it, http://docs.cython.org/src/tutorial/appendix.html . If you would like to use

Mingw instead of Visual Studio, just follow the above guide for installing Sundials until the step where

Visual Studio is used. Instead of following those instructions, browse to Sundials build catalogue using

the command prompt and type:

make

make install

Once Sundials and the rest of the packages are installed just install Assimulo by browsing to the folder in

the command prompt and type:

python setup.py install --sundials-home=/path/to/sundials

After a successful installation, the package will be located in pythons dist-packages folder.

NoteNoteNoteNote

To test Assimulo, go into the tests folder and type:

nosetests

Which requires python-nose.

TroubleshootingTroubleshootingTroubleshootingTroubleshooting

Ubuntu 64bitsUbuntu 64bitsUbuntu 64bitsUbuntu 64bits

There have been some problems installing Assimulo on Ubuntu 64bits machines when Sundials has been

installed with the default options. The problem generates the following error printout:


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/usr/bin/ld: /home/chria/sundialscode/lib/libsundials_cvodes.a(cvodes.o): relocation R_X86_64

against `.rodata.str1.1' can not be used when making a shared object; recompile with -fPIC

> /home/chria/sundialscode/lib/libsundials_cvodes.a: could not read symbols: Bad value

> collect2: ld returned 1 exit status

> error: command 'gcc' failed with exit status 1

To solve this problem, Sundials has to be installed with the CFLAGS=-fPIC.


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