Blosc / bcolz / 828

Builds Branch Commit Type Ran Committer Via Coverage
828 release-gil Added a benchmark for the new support for releasing the lock during Blosc operation push FrancescAlted travis-ci pending completion   set done
827 release-gil Initial try to release the GIL based on the same technique than zarr push FrancescAlted travis-ci pending completion   set done
826 master Fixed a bug introduced in a recent fix for getitem_cache() push FrancescAlted travis-ci pending completion   set done
824 master Commented out Python 3.4 Win64 tests in AppVeyor due to bad interactions with previous tests push FrancescAlted travis-ci pending completion   set done
823 master Fixed a bug that happened when the chunksize was not an exact multiple of the blocksize. push FrancescAlted travis-ci pending completion   set done
822 master Added a new quantize filter for lossy compression push FrancescAlted travis-ci pending completion   set done
821 master Reverting previous commit as it did not work. push FrancescAlted travis-ci pending completion   set done
820 master Moving Python 3.4 64-bit Windons build at the beggining to see if it compiles. push FrancescAlted travis-ci pending completion   set done
819 master Mention the possibility to create ctables with more than 255 cols push FrancescAlted travis-ci pending completion   set done
818 master Merge pull request #303 from jseabold/remove-named-tuple Don't use named tuple bc > 255 columns push FrancescAlted travis-ci pending completion   set done
817 master Make sure to cast to str for Python 2 Pull #303 jseabold travis-ci pending completion   set done
811 master Remove leading dimension if it is 1 for returned blocks in iterblocks() push FrancescAlted travis-ci pending completion   set done
810 master Fixed an issue with bcolz.iterblocks() not working on ND-carrays push FrancescAlted travis-ci pending completion   set done
809 master Defaults are scalars now, as it is documented. Fixes #25. push FrancescAlted travis-ci pending completion   set done
49 master try to accelerate the sum by allocating the Numpy array only once. Pull #81 esc travis-ci pending completion   set done