Release notes for PyTables 2.4 series
Changes from 2.3.1 to 2.4
- Improved HDF5 error logging management:
- added a new function, silenceHDF5Messages(), for suppressing
(and re-enabling) HDF5 messages. By default HDF5 error logging is now
suppressed. Closes gh-87.
- now all HDF5 error messages and trace-backs are trapped and attached to
the exceptions.HDF5ExtError exception instances.
- Added support for the float16 data type. It is only available if numpy
provides it as well (i.e. numpy >= 1.6). See gh-51.
- Leaf nodes now have attributes for retrieving the size of data in memory
and on disk. Data on disk can be compressed, so the new attributes make it
easy to compute the data compression ration.
Thanks to Josh Ayers (close gh-141).
- The maximum number of threads for Blosc and Numexpr is now handled using
the parameters.MAX_BLOSC_THREADS and
parameters.MAX_NUMEXPR_THREADS parameters respectively.
This allows a more fine grained configuration capability.
- ndim (read-only) attribute added to Leaf, Atom and
Col objects (closes gh-126).
- Added read support for variable length string attributes (non scalar
attributes are converted into numpy arrays with ‘O8’ type).
- Dropped support for HDF5 1.6.x. Now PyTables uses the HDF5 1.8 API
- Blosc updated to v. 1.1.3.
- The Blosc compression library is now automatically disabled on platforms
that do not support unaligned memory access (see also
- Improved bzip2 detection on Windows (gh-116). Thanks to cgohlke.
- For Windows, the setup.py script now has the ability to automatically find
the HDF5_DIR in the system PATH. Thanks to Mark (mwiebe).
- Improved multi-arch support in GNU/Linux platforms (closes gh-124)
Thanks to Julian Taylor and Picca Frederic-Emmanuel.
- Use new style syntax for exception raising. Closes gh-93.
- Fixed most of the warnings related to py3k compatibility (see gh-92).
- Fixed pyflakes warnings (closes gh-102).
- Cython extensions updated to use new constructs (closes gh-100).
- Reduced the number of build warnings (closes gh-101).
- Removed the old lrucache module. It is no more needed after the merge with
PyTables Pro (closes gh-118).
- Added explicit (import time) testing for hdf5dll.dll on Windows to improve
diagnostics (closes gh-146). Thanks to Mark (mwiebe).
- new coockbook section (contents have been coming from the PyTables wiki
- complete rework of the library reference. Now the entire chapter is
generated from docstrings using the sphinx autodoc extension.
A big thank you to Josh Ayers. Closes gh-148.
- new sphinx theme based on the cloud template
- Fixed a segfault on platforms that do not support unaligned memory access
(closes: gh-134). Thanks to Julian Taylor.
- Fixed broken inheritance in IsDescription classes (thanks to
Andrea Bedini). Closes gh-65.
- Fixed table descriptions copy method (closes gh-131).
- Fixed open failures handling (closes gh-158).
Errors that happen when one tries to open an invalid HDF5 file (e.g. an
empty file) are now detected earlier by PyTables and a proper exception
(exceptions.HDF5ExtError) is raised.
Also, in case of open failures, invalid file descriptors are no more cached.
Before is fix it was not possible to completely close the bad file and reopen
the same path, even if a valid file was created in the meanwhile.
Thanks to Daniele for reporting and for the useful test code.
- Fixed support to rich structured numpy.dtype in
description.descr_from_dtype(). Closes gh-160.
- Fixed sorting of nested tables that caused AttributeError.
Closes gh-156 and gh-157. Thanks to Uwe Mayer.
- Fixed flavor deregistration (closes gh-163)
—The PyTables Team