Changelog for python-sherpa-debugsource-4.17.0-3.1.x86_64.rpm :

* Wed Feb 12 2025 Ben Greiner - Add sherpa-pr2207-mpl.patch for matplotlib 3.10 test compatibility gh#sherpa/sherpa#2207
* Wed Jan 29 2025 Steve Kowalik - Add patch support-pytest-8.3.4.patch:
* Support pytest 8.3.4 changes.
* Fri Dec 06 2024 Ben Greiner - Update to 4.17.0
* This release of Sherpa includes various enhancements, documentation updates, bug fixes, and infrastructure changes. [#]# enhancements:
* add calc_model and calc_source functions to return an evaluated model/source array
* added wstat to plot_pvalue for the likelihood ratio test
* changed XSpec interface to use FunctionUtility C++ API instead of XSFortran API
* improved support for PHA data starting at channel 0 and handling of STAT_ERR and SYS_ERR PHA columns which are set to 0
* improved guess for complex models
* improved filtering handling
* several updates to enhance plotting capabilities and layout [#]# documentation changes:
* added paper citations to front page of Sherpa Read the Docs documentation
* cleaned up various typos and URL references
* added examples such as use of set_x/y_label [#]# infrastructure and testing:
* improved test coverage
* many updates to CI
* drop support for Python 3.9 and numpy <1.24
* initial/experimental support for Python 3.12 [#]# bug fixes:
* fixed an issue with plotting 1D data with asymmetric errs after filter
* include the default identifier in save_all output if it has been changed- Drop numpy2.patch- Add sherpa-pr2188-np2docstrings.patch gh#sherpa/sherpa#2188- Add sherpa-suse-libdir.patch
* Thu Sep 12 2024 Markéta Machová - Add numpy2.patch to fix build with the new numpy
* Wed May 29 2024 John Paul Adrian Glaubitz - Update to 4.16.1:
* enhancements: + minor plotting changes; add support for splitting model expression into + additive components and plot the results; support of log scale axes for + confidence plots; improved error messages for unavailable plot backends + improved RMF plot display to allow choice of energy units
* documentation changes: + updates to fake_pha documentation + updates to install.rst to fix incorrect links and outdated version references + updated read the docs documentation to match current code
* bug fixes: + fixed multi-panel plot issue with Bokeh backend
* Wed May 08 2024 Atri Bhattacharya - Do not run tests in parallel to avoid random failures (gh#sherpa/sherpa#2031).
* Sun Feb 18 2024 Ben Greiner - Skip python312: Requires setuptools < 60 and distutils
* Fri Dec 15 2023 Steve Kowalik - Update to 4.16.0:
* enhancements: + the grouping commands like group_counts and group_snr now default to only grouping within the noticed range of channels, which is a change in behaviour + new plotting backend: Users can now choose between matplotlib and bokeh (experimental) support use of arbitrary python functions when linking model parameters + updates to fake_pha, save_all, allowing to write out RMF/ARF files + get_plot_prefs and get_contour_prefs call to simplify access to the plot and contour preferences + implementation of RMFPlot and DataIMGPlot classes and associated UI functions (plot_rmf, get_rmf_plot) + update support for XSPEC to include version 12.13.1, allow XSPEC table models which include the ESCALE parameter, and provide experimental support for writing out XSPEC table models.
* changes to use the NumPy random generator API
* bug fixes: + PHA source plot Y axis scaling (#1825) + fix model display for grouped data (#1779, #1784) + Change in the ordering of operations when grouping background PHA datasets. (#1881)- Drop patch numpy125.patch and numpy125-CI.patch: Included upstream.- Skip a misbehaving test.
* Thu Sep 07 2023 Markéta Machová - Add upstream patches numpy125.patch and numpy125-CI.patch
* Mon May 29 2023 Dirk Müller - update to 4.15.1:
* further improvements to filtering/grouping including reporting a filter change in the UI
* fake_pha can be called with a list of ARF/RMF names
* added linewidth option for line and histogram plots
* documentation changes:
* fixed broken URLs
* improved documentation for templates, plot_pvalue
* added documentation testing with doctestplus
* Infrastructure changes:
* dropped support for Python 3.8
* experimental support of Python 3.11
* supported versions of Xspec are 12.12.0 - 12.13.0
* bug fixes:
* various updates to notice/ignore and group/ungroup code
* fixed issue with show_bkg
* fixed issue when binning values into a 1D histogram
* fixed cache errors with the TableModel class
* Fri Jan 20 2023 Ben Greiner - Update to 4.15.0
* This release of Sherpa includes various enhancements, documentation updates, bug fixes, and infrastructure changes. [#]# Enhancements:
* Improved validation of arguments when creating Data objects: - arrays sent to Data objects are now converted to ndarrays - the independent axis is now made read-only - the size of a data object is now fixed.
* Filter setting with notice/ignore are reported to the screen for the users of the UI layer.
* Increased test coverage for plotting [#]# Documentation changes:
* updated readthedocs to use pip and pytest instead of setup.py
* several updates to documentation, including updates to fake_pha, calc_ftest, calc_mlr [#]# Infrastructure changes:
* Drop support for Python 3.7
* Updates to start creating Python 3.10 Conda packages.
* Use Numpy 1.20 for Python 3.8/3.9 and Numpy 1.21 for Python 3.10.
* Moves toward PEP-517 with some distutils cleanup and more configuration moved from setup.py to setup.cfg
* Various improvements to the GitHub Actions and GitLab workflows [#]# Bug fixes:
* Ensure chi2xspecvar errors match XSPEC when 0 counts are present during background subtraction
* Remove model instances from the global symbol table when clean is called
* Addresses new warnings in the tests for Matplotlib 3.6.0 and AstroPy 5.1
* Minor copy and paste error in fake_pha docstring
* Test issues in test_fake_pha.py due to randomness [#]# Caveats
* There are known issues (#1602, #1605, #1606) in the histogram1d/histogram2d functions leading to failures which were not fully addressed in this release (see the failed case in the second histogram1d example). This is not the Sherpa core functionality and numpy.histogram can be used if needed.- Drop reproducible.patch: the patched fftw sources are not used in this build.
* Mon Aug 08 2022 Ben Greiner - Sherpa requires a build with setuptools < 60:
* Use python3X bundled setuptools instead of distribution package
* Enable early skip_python311 because that bundles setuptools 62
* Thu Jun 09 2022 Ben Greiner - Update to 4.14.1
* enhancements: - various plotting backend improvements - various i/o backend improvements - data object class improvements - basic support for Xspec 12.12.1 - beta support for python 3.10
* documentation changes: - updated build with CIAO documentation - Add a missing class (DataOgipResponse) to the documentation - Improves the docstrings for DataPHA - fixed typos in plot docs - clean up readthedocs issues such as missing bullets
* Infrastructure changes: - updates for compatibility with Clang 12.0 - updates to the regression tests
* bug fixes: - Improve the FITS headers created when writing out a PHA file (to better match OGIP standards) - addresses delete_model_component call failing if a key does not exist - fixed issue with writing a PHA dataset as a table rather than a PHA file - ensure FITS column access is case insensitive - image handling and image coordinates - Drop sherpa-pr1318-py310tests.patch fixed upstream - Drop sherpa-pr1319-distutils-hack.patch fixed upstream
* Fri Feb 04 2022 Ben Greiner - Add sherpa-pr1318-py310tests.patch -- gh#sherpa/sherpa#1318- Skip two tests failing on non x86_64 due to floating point precision- Disable 32-bit ARM build- Add sherpa-pr1319-distutils-hack.patch -- another attempt for python310 compatibility (gh#sherpa/sherpa#1319)