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author | Vailin Choi <vchoi@jam.ad.hdfgroup.org> | 2019-06-14 17:33:07 (GMT) |
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committer | Vailin Choi <vchoi@jam.ad.hdfgroup.org> | 2019-06-14 17:33:07 (GMT) |
commit | dfdc27b04b2e8bcd1985ba90ce6553d8b3805fda (patch) | |
tree | c57a84180e8ba581a8fc2bdf1039a2f2851d3d4a /release_docs | |
parent | 8d72e5e3e0fb13cb965a5973e0bcc793a831e740 (diff) | |
download | hdf5-dfdc27b04b2e8bcd1985ba90ce6553d8b3805fda.zip hdf5-dfdc27b04b2e8bcd1985ba90ce6553d8b3805fda.tar.gz hdf5-dfdc27b04b2e8bcd1985ba90ce6553d8b3805fda.tar.bz2 |
Fix release notes based on feedback from pull request.
Diffstat (limited to 'release_docs')
-rw-r--r-- | release_docs/RELEASE.txt | 16 |
1 files changed, 9 insertions, 7 deletions
diff --git a/release_docs/RELEASE.txt b/release_docs/RELEASE.txt index f59784d..069f385 100644 --- a/release_docs/RELEASE.txt +++ b/release_docs/RELEASE.txt @@ -256,16 +256,18 @@ Bug Fixes since HDF5-1.10.3 release Library ------- - - H5Ocopy a dataset in a 1.8 library file created with the latest format + - Fixed an issue where copying a version 1.8 dataset between files using + H5Ocopy fails due to an incompatible fill version - When H5Ocopy the dataset in the 1.8 library file to a 1.10 library file - created with (v18, v18) version bounds, the library fails with error stack - indicating that the fill value message version is out of bounds. + When using the HDF5 1.10.x H5Ocopy() API call to copy a version 1.8 + dataset to a file created with both high and low library bounds set to + H5F_LIBVER_V18, the H5Ocopy() call will fail with the error stack indicating + that the fill value version is out of bounds. - The value for the H5F_LIBVER_V18 index in H5O_fill_ver_bounds[], the format - version bounds array for fill value message, should be version 3 not 2. + This was fixed by changing the fill value message version to H5O_FILL_VERSION_3 + (from H5O_FILL_VERSION_2) for H5F_LIBVER_V18. - (VC - 2019/6/11, HDFFV-10800) + (VC - 2019/6/14, HDFFV-10800) - Fixed a bug that would cause an error or cause fill values to be incorrectly read from a chunked dataset using the "single chunk" index if |