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- Add numpy2.patch to fix build with the new numpy

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- 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    + updates to install.rst to fix incorrect links and outdated version references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

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Do not run tests in parallel to avoid random failures (gh#sherpa/sherpa#2031).

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- Skip python312: Requires setuptools < 60 and distutils

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We don't need `_constraints` after all.

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Perhaps not.

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- Add _constraints to add memory and disk available for testing.

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- 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.

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- Add upstream patches numpy125.patch and numpy125-CI.patch

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- 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

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- 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

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