Conda Recipes in support of Psychopy
Most dependencies were created with conda pipbuild depname, which builds a binstar package that can be installed but doesn't create a recipe. This repo contains recipes that required special attention because they failed with pipbuild. For example, the LabJack library uses dates for version names, where the dashes break version number parsing. The version can be specified manually, and there are a handful of similar work-arounds.
To install psychopy with conda, try this:
conda config --add channels https://conda.binstar.org/erik
conda config --add channels https://conda.binstar.org/quasiben
conda config --add channels https://conda.binstar.org/pramukta
conda create -n psychopyenv psychopy
source activate psychopyenv
The ones that could be auto-generated with pipbuild were run with:
# OSX Only
for i in pyobjc-core pyobjc pyobjc-framework-qtkit py2app; do
conda pipbuild $i;
done
for i in bdist_mpkg pyserial ioLabs pyxid altgraph macholib PySoundCard PySoundFile PyOpenGl altgraph ; do
conda pipbuild $i;
done
# For testing, you can also use `--use-local`, eg:
conda pipbuild altgraph
conda install altgraph --use-local
# labjackpython has non-standard versioning and can't use pipbuild
conda build labjackpython
Linux:
yum install gtk+-devel gtk+extra-devel gtk2-devel gtk2-engines-devel gtkglext-devel gtkmm24-devel wxGTK-devel wxBase SDL-devel gstreamer-devel gstreamer-plugins-base-devel
pygtk2.x86_64 pygtk2.x86_64 pygtkglext-devel.x86_64 python-gtkextra.x86_64