Installation

FabIO can, as any Python module, be installed from its sources, available on sourceforge but we advice to use binary packages provided for the most common platforms on sourceforge: Windows, MacOSX and Linux. Moreover FabIO is part of the common Linux distributions Ubuntu (since 11.10) and Debian7 where the package is named python-fabio and can be installed via:

# apt-get install python-fabio

If you are using MS Windows or MacOSX; binary version have been packaged. Windows installers are executable, just download the one corresponding to you python version and run it. MacOSX builds are zipped: unzip them at the right place.

Dependencies

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

Installation from sources

FabIO can be downloaded from the fable download page on sourceforge.net. Presently the source code has been distributed as a zip package and a compressed tarball. Download either one and unpack it.

http://sourceforge.net/projects/fable/files/fabio/

e.g.

tar xvzf fabio-0.1.4.tar.gz

or

unzip fabio-0.1.4.zip

all files are unpacked into the directory fabio-0.1.4. To install these do

cd fabio-0.1.4

and install fabio with

python setup.py build
sudo python setup.py install

most likely you will need to gain root privileges (with sudo in front of the command) to install the built package.

Development versions

The newest development version can be obtained by checking it out from the subversion (SVN) repository:

svn checkout https://svn.sourceforge.net/svnroot/fable/fabio/trunk fabio
cd fabio
python setup.py build
sudo python setup.py 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

We provide also a debian-package builder based on stdeb:

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

which builds a debian package and installs it in a single command. Handy for testing.

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 environment variable http_proxy is correctly set-up. For example if you are behind a firewall/proxy:

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

To run the test:

python setup.py test

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.

FabIO comes with 25 test-suites (110 tests in total) representing a coverage of 60%. 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 2.6 and 2.7.

Test suite coverage
Name Stmts Exec Cover
fabio/GEimage
94
48
51%
fabio/HiPiCimage
55
7
12%
fabio/OXDimage
285
271
95%
fabio/TiffIO
794
534
67%
fabio/__init__
15
15
100%
fabio/adscimage
79
37
46%
fabio/binaryimage
50
15
30%
fabio/bruker100image
60
13
21%
fabio/brukerimage
212
171
80%
fabio/cbfimage
441
219
49%
fabio/compression
223
136
60%
fabio/converters
17
14
82%
fabio/dm3image
133
16
12%
fabio/edfimage
596
397
66%
fabio/fabioimage
306
193
63%
fabio/fabioutils
322
256
79%
fabio/file_series
140
61
43%
fabio/fit2dmaskimage
75
71
94%
fabio/fit2dspreadsheetimage
47
7
14%
fabio/hdf5image
146
25
17%
fabio/kcdimage
80
65
81%
fabio/mar345image
244
215
88%
fabio/marccdimage
63
56
88%
fabio/mrcimage
96
0
0%
fabio/openimage
104
69
66%
fabio/pilatusimage
34
5
14%
fabio/pixiimage
95
22
23%
fabio/pnmimage
109
21
19%
fabio/raxisimage
98
88
89%
fabio/readbytestream
26
5
19%
fabio/tifimage
167
60
35%
fabio/xsdimage
94
68
72%

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