You may build distributions in several ways:
- as a standalone C++ library
- as a standalone Python package
- as a Python package wrapping the dynamically-linked C++ library
Note
On OSX, distributions builds with newer versions of clang, but
some systems default to g++. You can force distributions to use
clang by setting the CC environment variable before running
any pip, cmake, or make commands with export
CC=clang.
Install numpy and scipy. Then:
pip install distributions
Install requirements:
sudo apt-get install cmake libeigen3-dev
To install in ./lib:
make install
Alternatively, set a custom install location:
CMAKE_INSTALL_PREFIX=/my/prefix make install
Follow instructions for C++ Standalone. Install numpy and scipy. Then:
LIBRARY_PATH=/my/prefix/lib pip install distributions
Warning
When using wrapped libdistributions, the dynamic linker must be able to find the library. The environment variables used to do this differ from platform to platform.
On Linux, you might run python as follows:
LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/my/prefix/lib python
On OSX, you'll need a different flag:
DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:/my/prefix/lib python
If you use virtualenv with virtualenvwrapper and use the virtualenv root as your prefix, it is convenient to add a postactivate hook to set this environment. On Linux, this would look like this:
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$VIRTUAL_ENV/lib' >> $VIRTUAL_ENV/bin/postactivate
This will install both the static and dynamic versions of libdistributions within a virtualenv, then install the distributions Python package built to wrap libdistributions.
Install cmake. Install numpy, scipy, cython, and nosetests so that they're available within a python virtualenv. Activate that virtualenv. Then:
make test
The top-level Makefile provides many targets useful for development.