# Installation

FabIO can, as any Python module, be installed from its sources, available on the Python cheese shop but we advice to use binary wheels packages provided for the most common platforms: Windows, MacOSX. For Debian Linux and its derivatives (Ubuntu, Mint, …), FabIO is part of the distributions and itss package is named python-fabio and can be installed via:

    sudo apt-get install python-fabio

If you are using MS Windows or MacOSX; binary version (as wheel packages) are PIP-installable. PIP is the Python Installer Program, similar to `apt-get` for Python. It runs under any architecture. Since Python 2.7.10 and 3.4, PIP is installed together with Python itself. If your Python is elder, PIP can be simply downloaded and executed using your standard Python:

    python get-pip.py
    pip install fabio

## Installation under windows

Install Python from the official web page. I would recommend Python 2.7 in 64 bits version if your operating system allows it. Python3 (>=3.4) is OK.

If you are looking for an integrated scientific Python distribution on Windows, WinPython is a good one, the Python2.7, 64 bit version is advised.

It comes with pip pre-installed and configured.

### Installation using PIP:

If you use a Python2 elder than 2.7.10 or a Python3 <3.4, you will need Download PIP. Then install the wheel package manager and all dependencies for :

    python get-pip.py
    pip install setuptools
    pip install wheel
    pip install fabio

Note: for now, PyQt4 is not yet pip-installable. you will need to get it from riverbankcomputing: http://www.riverbankcomputing.co.uk/software/pyqt/download

### Manual installation under windows

You will find all the scientific Python stack packaged for Windows on Christoph Gohlke’ page (including FabIO):

Pay attention to the Python version (both number and architecture). DO NOT MIX 32 and 64 bits version. To determine the version and architecture width of the Python interpreter:

    >>> import sys
    >>> print(sys.version)
    2.7.9 (default, Mar  1 2015, 12:57:24)
    >>> print("%s bits"%(8 * tuple.__itemsize__))
    64 bits

### Installation from sources

- Retrieve the sources from github:

  - The master development branch
  - The latest release

- unzip the file in a directory

- open a console (cmd.exe) in this directory.

- install the required dependencies using PIP:

      pip install -r ci/requirements_appveyor.txt --trusted-host www.silx.org

#### Get the compiler and install it

The version of the compiler and the version of the Microsoft SDK have to match the Python version you are using. Here are a couple of examples:

- Python2.7: Microsoft compiler 2008
- Python 3.5: Microsoft Visual studio community edition 2015

#### Compile the sources

    python setup.py build
    python setup.py test
    pip install .

### Testing version of FabIO

Continuous integration runs the complete test suite on multiple operating systems and python version. Under Windows, this is done using the AppVeyor cloud service Select the environment which matches your setup like Environment: PYTHON=C:Python34-x64, PYTHON_VERSION=3.4.3, PYTHON_ARCH=64 and go to artifacts where wheels and MSI-installers are available.

## Installation on MacOSX

Python 2.7, 64 bits and numpy are natively available on MacOSX.

### Install via PIP

Since MacOSX 10.11 (El-Captain), PIP is available as part of the standard python installation. For elder MacOSX, download PIP and run. Then install FabIO directly:

    sudo pip install fabio

Note: for now, PyQt4, used by the fabio-viewer is not yet pip-installable. You will need to get it from riverbankcomputing.

### Compile from sources

#### Get the compiler

Apple provides for free Xcode which contains the compiler needed to build binary extensions. Xcode can be installed from the App-store.

#### Compile the sources

Once done, follow the classical procedure (similar to Windows or Linux):

- Retrieve the sources from github:
  - The master development branch
  - The latest release
- unzip the file in a directory
- open a terminal in the unzipped archive directory
- run:

    sudo pip install -r ci/requirements_travis.txt --trusted-host www.silx.org
    python setup.py build
    python setup.py test
    sudo pip install .

## Manual Installation for any operating system

### Install the dependencies

Most Linux distribution come with a Python environment configured. Complete it with the needed dependencies.

- Python 2.7 or 3.4+
- numpy - http://www.numpy.org

For full functionality of FabIO the following modules need to be installed:

- Pillow (python imaging library) - http://www.pythonware.com
- lxml (library for reading XSDimages)
- PyQt4 for the fabio_viewer program

Once done, follow the classical procedure (similar to Windows or MacOSX):

- Retrieve the sources from github:
  - The master development branch
  - The latest release
- unzip the file in a directory
- open a terminal in the unzipped archive directory
- run:

    sudo pip install -r ci/requirements_travis.txt --trusted-host www.silx.org
    python setup.py build
    python setup.py test
    sudo pip install .

Most likely you will need to gain root privileges (with sudo in front of the command) to install packages.

## Development versions

The newest development version can be obtained by checking it out from the git repository:

    git clone https://github.com/silx-kit/fabio
    cd fabio
    python setup.py build test
    sudo pip install .

For Ubuntu/Debian users, you will need:

- python-imaging
- python-imaging-tk
- python-numpy
- python-dev

    sudo apt-get install python-imaging python-imaging-tk python-numpy

### Automatic debian packaging

#### Debian 6 and 7:

We provide a debian-package builder based on stdeb, building a package for Python2:

    sudo apt-get install python-stdeb
    ./build-deb.sh

which builds a debian package and installs them in a single command. Handy for testing, but very clean, see hereafter

#### Debian 8 and newer

The same script, build-deb.sh, will create real debian packages: It will build a bunch of 6 debian packages:

- fabio-bin: the GUI for visualizing diffraction images
- fabio-doc: the documumentation package
- python3-fabio: library built for Python3
- python3-fabio-dbg: debug symbols for Python3
- python-fabio: library built for Python2
- python-fabio-dbg: debug symbols for Python2

For this, you need a complete debian build environment:

    sudo apt-get install cython cython-dbg cython3 cython3-dbg debhelper dh-python \
    python-all-dev python-all-dbg python-h5py \
    python-lxml python-lxml-dbg python-matplotlib python-matplotlib-dbg python-numpy\
    python-numpy-dbg python-qt4 python-qt4-dbg python-sphinx \
    python-sphinxcontrib.programoutput python-tk python-tk-dbg python3-all-dev python3-all-dbg \
    python3-lxml python3-lxml-dbg python3-matplotlib \
    python3-matplotlib-dbg python3-numpy python3-numpy-dbg python3-pyqt4 python3-pyqt4-dbg \
    python3-sphinx python3-sphinxcontrib.programoutput \
    python3-tk python3-tk-dbg python3-pil-dbg python3-setuptools devscripts

    ./build-deb.sh

This script works the same way with Debian-9 stretch and newer.

## Test suite

FabIO has a comprehensive test-suite to ensure non regression. When you run the test for the first time, many test images will be download and converted into various compressed format like gzip and bzip2 (this takes a lot of time).

Be sure you have an internet connection and your proxy setting are correctly defined in the environment variable http_proxy. For example if you are behind a firewall/proxy (No more needed at ESRF):

Under Linux and MacOSX:

    export http_proxy=http://proxy.site.org:3128

Under Windows:

    set http_proxy=http://proxy.site.org:3128

Where proxy.site.org and 3128 correspond to the proxy server and port on your network. At ESRF, you can get this piece of information by phoning to the hotline: 24-24.

Many tests are there to deal with malformed files, don’t worry if the programs complains in warnings about “bad files”, it is done on purpose to ensure robustness in FabIO.

### Run test suite from installation directory

To run the test:

    python setup.py build test

### Run test suite from installed version

Within Python (or ipython):

    >>> import fabio
    >>> fabio.tests()

### Test coverage

FabIO comes with 49 test-suites (295 tests in total) representing a coverage of 73%. This ensures both non regression over time and ease the distribution under different platforms: FabIO runs under Linux, MacOSX and Windows (in each case in 32 and 64 bits) with Python versions 2.7, 3.4, 3.5, 3.6 and 3.7. Under linux it has been tested on i386, x86_64, arm, ppc, ppc64le. FabIO may run on other untested systems but without warranty.

- Test coverage report for fabio