Distributed under CeCCIL licence.
Binary packages for Ubuntu/Debian or Mac OS X, as well as Pint source code can be downloaded from github.com/pauleve/pint/releases.
- clingo is required
by
pint-reachandph2thomas. - ITS is required by
pint-its. - mole is required by
pint-mole.
A Docker image which includes all Pint features is provided: pauleve/pint.
Whereas performance may be tempered by the Docker layers, it provides an efficient way to try out Pint without the burden of installing its multiple dependencies.
Installation using the command line:
$ docker pull pauleve/pint
You can then mount the image and enjoy all the Pint commands. Alternatively, on Linux/Mac OS X, you can call Pint from your local directory using:
$ docker run --rm --volume "$PWD":/wd --workdir /wd pauleve/pint <PINT-CMD>
where <PINT-CMD> is a Pint command.
You can drop the --rm option to reuse the mounted image multiple times more
efficiently (see Docker documentation).
Pint requires the libRmath standalone library for the stochastic simulation and parameters inference from time interval specifications. You can disable this functionnality with the following command:
$ python setup.py --disable-R
Most distributions provide a libRmath package (or include the libRmath.so library in the R package).
If you compile R from sources, after the configure step:
(from R source directory)
$ cd src/nmath/standalone
$ make shared
$ sudo make install
In the root directory of sources:
$ python setup.py --enable-R
or
$ python setup.py --disable-R
then
$ make
If you installed libRmath in a custom location, use CFLAGS and LDFLAGS environment variables to indicate it:
LDFLAGS=-L/usr/local/lib CFLAGS=-I/usr/local/include make
Add <Pint source directory>/bin to your $PATH environment variable.