Installation procedure on MacOSX

Using PIP

To install pyFAI on an Apple computer you will need a scientific Python stack. MacOSX provides by default Python2.7 with Numpy which is a good basis.

sudo pip install matplotlib --upgrade
sudo pip install scipy --upgrade
sudo pip install fabio --upgrade
sudo pip install h5py --upgrade
sudo pip install cython --upgrade
sudo pip install silx --upgrade
sudo pip install pyFAI --upgrade

If you get an error about the local “UTF-8”, try to:

export LC_ALL=C

Before the installation.

Installation from sources

Get the sources from Github:

wget https://github.com/silx-kit/pyFAI/archive/master.zip
unzip master.zip
cd pyFAI-master

About OpenMP

OpenMP is a way to write multi-threaded code, running on multiple processors simultaneously. PyFAI makes heavy use of OpenMP, but there is an issue with recent versions of MacOSX (>v10.6) where the default compiler of Apple, Xcode, dropped the support for OpenMP.

There are two ways to compile pyFAI on MacOSX:

  • Using Xcode and de-activating OpenMP in pyFAI
  • Using another compiler which supports OpenMP

Using Xcode

To build pyFAI from sources, a C-compiler is needed. On an Apple computer, the default compiler is Xcode, and it is available for free on the AppStore. As pyFAI has by default OpenMP activated, and it needs to be de-activated, one needs to regenerate all Cython files without OpenMP.

sudo pip install cython --upgrade
rm pyFAI/ext/*.c
python setup.py build --force-cython --no-openmp
python setup.py bdist_wheel
sudo pip install --find-links=dist/ --pre --no-index --upgrade pyFAI

Using gcc or clang

If you want to keep the OpenMP feature (which makes the processing slightly faster), the alternative is to install another compiler like gcc or clang on your Apple computer. As gcc & clang support OpenMP, there is no need to re-generate the cython files.

CC=gcc python setup.py build --openmp
python setup.py bdist_wheel
sudo pip install --find-links=dist/ --pre --no-index --upgrade pyFAI

Nota: The usage of “python setup.py install” is now deprecated. It causes much more trouble as there is no installed file tracking, hence no way to de-install properly a package.

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