fwdpy11 0.2.0

Forward-time population genetic simulation in Python

This is the README for fwdpy11, which is a Python package for forward-time population genetic simulation. It uses fwdpp as its C++ back-end.

Build status

Master:

Development:

Manual

Latest/master:

Development branch:

Features

• Picklable population objects

• Parallel computation via multiprocessing or concurrent.futures.

• Custom temporal samplers to analyze populations during a simulation may be written in pure Python.

Dependencies

The following must be present on your system:

• GSL. This is a C library. It is available via conda. fwdpy11 requires version 2.2 or greater.

• pybind11. This should be installed conda as appropriate for your system, or via your system’s package manager or manually. See note below.

• cmake. This should be installed by conda or your favorite package manager.

fwdpy11 also uses fwdpp, which is included as a submodule.

Note

The C++ modules are built using cmake, which requires that pybind11’s cmake macros are visible. Installing pybind11 via pip does not install the macros. However, installs using conda, apt-get, or manual installation from source will install both the Python module and the cmake macros.

License

GPLv3 or later (See COPYING)

Suppored Python version

fwdpy11 is written for Python 3. We will not modify the package to be compatible with Python 2.7.

git submodule init
git submodule update
python setup.py build_ext -i
python -m unittest discover tests

Note

The clang compiler is the assumed default on OS X. However, life is simpler if you use gcc. The setup.py takes a –gcc option that eliminates OS X-specific (really Xcode clang-specific) features so that an OS X/gcc build is possible.

Installation

Using pip on OS X and Linux (or pip3 as appropriate for your system):

pip install --upgrade fwdpy11

If you prefer a pip install on OS X using GCC instead of clang:

pip install --upgrade fwdpy11 --install-option=--gcc

You may or may not need to prefix the above with

CC=gcc CXX=g++

depending on whether or not your user’s $PATH is set up to override Xcode’s symlink of gcc to clang.

Caution

We use the GitHub “release” mechanism to make stable versions available. However, GitHub releases to not include the sub-modules, meaning that the releases themselves cannot be used for installation. (A related irony is that the Zenodo DOI for the releases are somewhat meaningless.)

To install a specific release:

1. Use pip (see above). This is the recommended approach if you do not use conda.

2. Install from bioconda. This is the recommended approach.

3. Clone the repo, checkout the release, and update submodules:

git clone http://github.com/molpopgen/fwdpy11
cd fwdpy11
git submodule init
git submodule update

The latter method is probably the least appealing.

We have a strict policy of putting releases on PyPi and bioconda. If there is a release on PyPi but not on bioconda, then that is because we identified a bug and pushed a new release before the bioconda build happend. It happens. That’s life.

Enabling debugging symbols in the C++ code

python setup.py build_ext -i --debug

Debug mode disables all compiler optimizations, allows C-like assertions, and generated debug symbols.

Note

Never install the package compiled in debug mode! First, things will run much more slowly. Second, triggering an assertion will cause the Python interpreter to crash. These assertions exist as a brute-force method to help developers quickly identify bugs.

Enabling assertions in the C++ code

The fwdpp library code uses C’s assert macros in several places. These are disabled by default. However, it can be useful to enable them when hacking the code. To do so, you must manually set your compiler flags with cmake:

cmake . -DCMAKE_CXX_FLAGS="-UNDEBUG -O2 -g"

When compiling this way, fwdpy11 makes some extra checks that will throw RuntimeError if they fail. The fwdpp back end also makes extra checks. If those fail, abort will be called, which will crash the Python interpreter. Thus, compiling with this option is a “serious debugging mode only” option.

Bioconda

fwdpy11 is available through bioconda for Linux and for OS X:

conda install -c bioconda fwdpy11

The OS X build is built using gcc.