python-tables
PyTables is a package for managing hierarchical datasets and designed to efficently cope with extremely large amounts of
data. PyTables is built on top of the HDF5 library and the NumPy package and features an object-oriented interface
that, combined with C-code generated from Pyrex sources, makes of it a fast, yet extremely easy to use tool for
interactively save and retrieve large amounts of data.
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Filename | Size | Changed |
---|---|---|
_multibuild | 0000000123 123 Bytes | |
python-tables.changes | 0000044207 43.2 KB | |
python-tables.spec | 0000004748 4.64 KB | |
tables-3.10.1.tar.gz | 0004762413 4.54 MB |
Revision 39 (latest revision is 40)
Steve Kowalik (StevenK)
accepted
request 1195958
from
Benjamin Greiner (bnavigator)
(revision 39)
- Update to 3.10.1 ## Bugfixes * Fix version constraints for the numpy runtime requirements * (#1204). * For a mistake it didn't allow to use PyTables with numpy 2.x. * Fix compatibility with PyPy (:issue:1205), Thanks to Michał Górny. ## Improvements * Upstream: Enforce numpy >= 2 as build constraint (see discussion in #1200). -- not enforced in openSUSE * Use tuple of plain ints for chunk info coordinates. Thanks to Ivan Vilata-i-Balaguer. * Enable faulthandler in tables.tests.test_all. Thanks to Eric Larson. - Release 3.10.0 * New direct chunking API which allows access to raw chunk data skipping the HDF5 filter pipeline (cutting overhead, see "Optimization tips" in User's Guide), as well as querying chunk information (#1187). Thanks to Ivan Vilata and Francesc Alted. This development was funded by a NumFOCUS grant. ## Improvements * This release is finally compatible with NumPy 2 with wheels being built against it so that they are still binary-compatible with NumPy 1 installations (#1176, #1183, #1184, #1192, #1195, #1160, #1172, #1185). NumPy >= 1.20 is required now. Thanks to Antonio Valentino, Maximilian Linhoff and Eric Larson. * Fix compatibility with Python 3.13 (#1166), Python >= 3.10 required. Cython 3.0.10 is required for building. Thanks to Antonio Valentino. * Add type hints to atom.py (#1079). This also narrows some types, only allowing bytes to be stored in VLStringAtom and only str in VLUnicodeAtom. Thanks to Nils Carlson. * Add type hints to (hopefully) the complete PyTables API (#1119, #1120, #1121, #1123, #1124, #1125, #1125, #1126, #1128, #1129, #1130, #1131, #1132, #1133, #1135, #1136, #1137, #1138, #1139, #1140, #1141, #1142, #1143, #1145, #1146, #1147, #1148, #1150, #1151, #1152). Thanks to Ko Stehner. * Reduce impact of CPU information gathering by caching in local file (#1091, #1118, #1081). Thanks to Antti Mäkinen and Maximilian Linhoff. ## Bugfixes * Fix typos and may other language errors in docstrings (#1122). Thanks to Ko Stehner. * Fix Blosc2 filter not setting dparams.schunk on decompression (#1110 and #1109). Thanks to Tom Birch. * Fix using B2ND optimizations when Blosc2 is not the only enabled filter; move Fletcher32 compression to end of pipeline when enabled (#1191 and #1162). Thanks to Ivan Vilata and Alex Laslavic. * Fix broken internal passing of createparents argument in Leaf.copy (#1127 and #1125). Thanks to Ko Stehner. * Re-enable relative paths in ExternalLink class (#1095). Thanks to erikdl-zeiss. * Fix using prefix in heavy tests methods of test_queries (#1169). Thanks to Miro Hrončok. * Fix TypeError when computing Blosc2 search paths with missing library (#1188 and #1100). Thanks to martinowitsch, Padraic Calpin and Eric Larson. * Avoid overflow RuntimeWarning on NumPy expectedrows value (#1010). Thanks to wony-zheng and Ivan Vilata. ## Other changes * Assorted fixes to b2nd benchmark, with new results. Thanks to Ivan Vilata. * Point users to example code to handle "Selection lists cannot have repeated values" exception (#1161 and #1149). Thanks to Joshua Albert. * Remove unused getLibrary C code. Thanks to Antonio Valentino.
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