pylibseq 0.1.9

Python interface to libsequence

This package provides Python bindings for the C++11 library libsequence.

The bindings are implemented using Cython.

This package serves two roles:

• It provides a means of using some of the more widely-used bits of libsequence within the Python language

• The unit tests of this package also serve as unit tests for libsequence.

What this package does not (currently) do:

• provide an interface for I/O operations. Python I/O and C++ I/O are fundamentally very different. Bridging the gap requires either adding features to Cython and/or adding modules to this package that depend on the boost Python interface, which would add an additional C++ dependency to this package.

Build status

Master branch:

Development branch:

Requirements:

• libsequence must be installed on your system. Currently, this package requires the dev branch of libsequence

• TBB must be installed on your system.

• Python 2 or Python 3

• An up-to-date C++ compiler that is C++11 compatible via the flag -std=c++11. Roughly, this means GCC >= 4.8 and clang >= 3.5.

..note:: If you installing from GitHub, then Cython is a dependency.

The recommended method for installing libsequence is bioconda. If you do not use that system, then you should install libsequence from source.

If you want to modify the package, you will need Cython installed via your favorite Python package manager.

The supported platforms are Linux and OS X.

Changelog (rough)

• 0.1.9: Made memory management more robust: more unique_ptr instead of raw pointers. Cleanup __dealloc__ functions in extension types. Package now sets __version__. Class names are now “Pythonic” (and identical to the corresponding type names from libsequence) due to aliasing the C++ names from libsequence. Change from distutils to setuptools. Documentation fixes. Expose haplotype diversity and number of haplotype statistics. First (very alpha) release of pymsstats.

• 0.1.8: made sure C++ objects/fxns are declared “nogil”. Raw pointers replaced with C++’s unique_ptr.

• 0.1.7: improvements to build system. Add option to build from GitHub.

• 0.1.6: update to libsequence 1.8.9. Add –use-cython option to setup.py

Installation:

The latest release of the package is available via PyPi, and can be installed with your favorite Python package manager:

$ pip install --upgrade pylibseq

Or, you may install from GitHub:

Note

The GitHub version does not contain the .cpp files generated by Cython. You need to generate those!

$ git clone http://github.com/molpopgen/pylibseq
$ cd pylibseq

$ ./configure
$ sudo pip install . --install-option=--use-cython

You may also install from GitHub using pip:

$ pip install git+git://github.com/molpopgen/pylibseq --install-option=--use-cython

If you have libsequence in a “funny location” (e.g., something other that /usr/local):

$ CPPFLAGS=-I/path/to/libsequence/headers LDFLAGS=-L/path/to/libsequence/library sudo python setup.py install --use-cython

For example, if libsequence is installed into /opt:

$ CPPFLAGS=-I/opt/include LDFLAGS=-L/opt/lib sudo python setup.py install

Unit testing:

$ ./configure
$ python setup.py build_ext -i --use-cython
$ python -m unittest discover unit_test

Modifying the package

$ python setup.py build_ext -i --use-cython

Documentation:

• Project homepage

• Manual