python-fabio 0.1.3-3 source package in Ubuntu
Changelog
python-fabio (0.1.3-3) unstable; urgency=medium * fix the FTBFS when sphinxdoc is not installed -- Picca Frédéric-Emmanuel <email address hidden> Wed, 15 Jan 2014 19:32:16 +0100
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- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Trusty | release | universe | python |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| python-fabio_0.1.3-3.dsc | 1.6 KiB | 543ad4a3fd02edb9400e343961553d0b501125bc0c2680f5358a9a196938d55d |
| python-fabio_0.1.3.orig.tar.gz | 1.6 MiB | 28597bc0689fec4532f7a214002ff113ffe9fa921468284e5ec8c11fbe58a1d3 |
| python-fabio_0.1.3-3.debian.tar.gz | 5.9 KiB | 127ceb2a1924c415e983f029ed0f41d70f974f01ddbca3d5ad0a549927fe1349 |
Available diffs
- diff from 0.1.3-1 to 0.1.3-3 (5.5 KiB)
- diff from 0.1.3-2 to 0.1.3-3 (569 bytes)
No changes file available.
Binary packages built by this source
- python-fabio: No summary available for python-fabio in ubuntu utopic.
No description available for python-fabio in ubuntu utopic.
- python-fabio-dbg: I/O library for images produced by 2D X-ray detector (debug ext)
FabIO is an I/O library for images produced by 2D X-ray detectors and
written in Python. FabIO support images detectors from a dozen of
companies (including Mar, Dectris, ADSC, Hamamatsu, Oxford, ...), for
a total of 20 different file formats (like CBF, EDF, TIFF, ...) and
offers an unified interface to their headers (as a python dictionary)
and datasets (as a numpy ndarray of integers or floats)
.
This package contains the extension built for the Python 2 debug
interpreter.
- python-fabio-doc: I/O library for images produced by 2D X-ray detector (common documentation)
FabIO is an I/O library for images produced by 2D X-ray detectors and
written in Python. FabIO support images detectors from a dozen of
companies (including Mar, Dectris, ADSC, Hamamatsu, Oxford, ...), for
a total of 20 different file formats (like CBF, EDF, TIFF, ...) and
offers an unified interface to their headers (as a python dictionary)
and datasets (as a numpy ndarray of integers or floats)
.
This is the common documentation package.
