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| Name: python314-sidpy | Distribution: openSUSE Tumbleweed |
| Version: 0.12.9 | Vendor: openSUSE |
| Release: 1.1 | Build date: Wed Jul 15 08:34:09 2026 |
| Group: Unspecified | Build host: reproducible |
| Size: 1419275 | Source RPM: python-sidpy-0.12.9-1.1.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://pycroscopy.github.io/sidpy/ | |
| Summary: Utilities for processing Spectroscopic and Imaging Data | |
Python utilities for storing, visualizing, and processing Spectroscopic and Imaging Data (SID).
MIT
* Wed Jul 15 2026 Martin Pluskal <mpluskal@suse.com>
- Update to 0.12.9:
* Refactor the curve fitter and add a utility for BEPS/loop
fitting
* Fix Python 3.10-3.13 compatibility and restore missing fitter
imports
* Add NeXus format compatibility
- Switch Source to the versioned upstream tag (v%{version})
- Add libopenblas_pthreads0 BuildRequires so scipy and
scikit-learn (now imported eagerly by the refactored fitter) can
load libopenblas.so.0 during the test suite
- Add python-dask-ml and python-pyswarms dependencies, newly
required by the refactored fitter
* Thu Jun 18 2026 Ana Guerrero <ana.guerrero@suse.com>
- skip build for python311
* Mon Nov 24 2025 Steve Kowalik <steven.kowalik@suse.com>
- Update to 0.12.8:
* get scale of axis with dataset.x.slope.
- Remove upper bound on numpy.
* Mon Jul 08 2024 Steve Kowalik <steven.kowalik@suse.com>
- Limit numpy to < 2 due to dask-array.
* Thu Mar 14 2024 Dirk Müller <dmueller@suse.com>
- skip python 3.9 due to missing ipython
* Sun Jan 21 2024 Dirk Müller <dmueller@suse.com>
- update to 0.12.3:
* Variance included by Boris
* Visualizer updated to include variance by Boris
* Visualizer updated to make it flexible by Gerd
* Tests updated by Boris
* get_spectrum_dims is renamed to get spectral_dims
- update to 0.12.1:
* updates to some of the visualizers (spectrum visualizer for
example)
* bug fix to Sidpy Fitter class that was preventing proper
scaling with multiple workers
* changes on the backend regarding getting and setting
dimensions
* additional tests
- update to 0.12.0:
* New version of sidpy has been released. The major change is
that previous operations that would have resulted in return
of numpy or dask arrays are now programmed to return sidpy
dataset objects. This is particularly useful for instance
when wishing to crop, slice, and perform standard arithmetic
operations on sidpy datasets. The sidpy.fitter class has been
updated to allow for complex datasets. An example notebook is
provided here
* Mon Mar 27 2023 Ben Greiner <code@bnavigator.de>
- Reenable python311 with dask
- Fix requirements
- PEP517
* Mon Mar 27 2023 Daniel Garcia <daniel.garcia@suse.com>
- Disable python3.11 build, python-dask dependency doesn't support
python3.11 yet.
* Wed Feb 08 2023 Daniel Garcia <daniel.garcia@suse.com>
- Update to 0.11.2
* compatibility to numpy >1.24
- 0.11.1
* Minor release. Small fixes to image windowing, four dimensional visualizer,
and adding of a structure attribute to the sidpy.dataset object.
- 0.11
* Added CHANNEL dimension type for sidpy dimensions (for example of usage see
this link) . This is useful for multi-channel spectral datasets, which can
now be plotted using the intrinsic .plot() method
* Added updated capability on spectral visualizer to enable plotting of
multi-channel spectra
* Small changes with set_dimension() method to be more robust
* Minor bug fixes
* Updates to various tests
- 0.10
* This release adds a few 'under the hood' changes to the sidpy dataset
object, with respect to chunking and folding/unfolding. Some minor edits to
some visualization functions were also made. A new method
visualize_fit_results() to the SidFitter class was added to aid in
visualization of functional fits.
- 0.0.9
* Added fitter class and improved tests.
* Fri Oct 21 2022 pgajdos@suse.com
- python-six is not required
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