-------------------------------------------------------------------------------- Fedora Update Notification FEDORA-2023-e8f79b0cf1 2023-11-03 18:20:20.953298 -------------------------------------------------------------------------------- Name : python-hdmf Product : Fedora 39 Version : 3.10.0 Release : 1.fc39 URL : https://github.com/hdmf-dev/hdmf Summary : A package for standardizing hierarchical object data Description : The Hierarchical Data Modeling Framework The Hierarchical Data Modeling Framework, or *HDMF* is a Python package for working with hierarchical data. It provides APIs for specifying data models, reading and writing data to different storage backends, and representing data with Python object.Documentation of HDMF can be found at Release. Documentation of HDMF can be found at https://hdmf.readthedocs.io -------------------------------------------------------------------------------- Update Information: Update `python-hdmf` to 3.10.0 and `python-pynwb` to 2.5.0. ----- ## HDMF 3.10.0 (October 3, 2023) Since version 3.9.1 should have been released as 3.10.0 but failed to release on PyPI and conda-forge, this release will increase the minor version number to 3.10.0. See the 3.9.1 release notes below for new features. ### Bug fixes - Fixed issue with testing and deployment of releases. [#957](https://github.com/hdmf-dev/hdmf/pull/957) ## HDMF 3.9.1 (September 29, 2023) ### Enhancements - Updated `TermSet` to be used with `TermSetWrapper`, allowing for general use of validation for datasets and attributes. This also brings updates to `HERD` integration and updates on `write` to easily add references for wrapped datasets/attributes. @mavaylon1 [#950](https://github.com/hdmf-dev/hdmf/pull/950) ### Minor improvements - Removed warning when namespaces are loaded and the attribute marking where the specs are cached is missing. [#926](https://github.com/hdmf-dev/hdmf/pull/926) ### Bug fixes - Fixed bug allowing `DynamicTable` to be constructed with empty `id` column when initializing all columns via `AbstractDataChunkIterator` objects. @oruebel [#953](https://github.com/hdmf-dev/hdmf/pull/953) ----- ## PyNWB 2.5.0 (August 18, 2023) ### Enhancements and minor changes - Add `TimeSeries.get_timestamps()` - Add `TimeSeries.get_data_in_units()` - Updated `ExternalResources` name change to `HERD`, along with HDMF 3.9.0 being the new minimum. ### Documentation and tutorial enhancements - Updated streaming tutorial to ensure code is run on tests and clarify text. - Fixed minor documentation build warnings and broken links to `basic_trials` tutorial ## PyNWB 2.4.1 (July 26, 2023) - Stop running validation tests as part of integration tests. They cause issues in CI and can be run separately. ## PyNWB 2.4.0 (July 23, 2023) ### Enhancements and minor changes - Add support for `ExternalResources`. - Update links for making a release. ### Bug fixes - Fixed sphinx-gallery setting to correctly display index in the docs with sphinx- gallery>=0.11. ### Documentation and tutorial enhancements - Added thumbnail for Optogentics tutorial. - Update and fix errors in tutorials. -------------------------------------------------------------------------------- ChangeLog: * Thu Oct 5 2023 Benjamin A. Beasley <code@xxxxxxxxxxxxxxxxxx> - 3.10.0-1 - Update to 3.10.0 (close RHBZ#2241592) -------------------------------------------------------------------------------- References: [ 1 ] Bug #2241592 - python-hdmf-3.10.0 is available https://bugzilla.redhat.com/show_bug.cgi?id=2241592 -------------------------------------------------------------------------------- This update can be installed with the "dnf" update program. Use su -c 'dnf upgrade --advisory FEDORA-2023-e8f79b0cf1' at the command line. For more information, refer to the dnf documentation available at http://dnf.readthedocs.io/en/latest/command_ref.html#upgrade-command-label All packages are signed with the Fedora Project GPG key. More details on the GPG keys used by the Fedora Project can be found at https://fedoraproject.org/keys -------------------------------------------------------------------------------- _______________________________________________ package-announce mailing list -- package-announce@xxxxxxxxxxxxxxxxxxxxxxx To unsubscribe send an email to package-announce-leave@xxxxxxxxxxxxxxxxxxxxxxx Fedora Code of Conduct: https://docs.fedoraproject.org/en-US/project/code-of-conduct/ List Guidelines: https://fedoraproject.org/wiki/Mailing_list_guidelines List Archives: https://lists.fedoraproject.org/archives/list/package-announce@xxxxxxxxxxxxxxxxxxxxxxx Do not reply to spam, report it: https://pagure.io/fedora-infrastructure/new_issue
