Bumps

-----------------
* added testing for python 3.12
* fixed issue with matplotlib >= 3.8.0 (see 129)
* added missing documents to dream manual
(Convergence tests, Parallel coordinates plot)
* added numba.njit-accelerated fallback bounds.apply methods to dream
(still uses compiled C DLL if available)
* provide MAX_CORR attribute on the CorrelationView; clear the figure
if the number of variables exceeds MAX_CORR

sid
A persistent prerelease where build artifacts for the current tip will be deposited

Last updated: Fri Dec 08 2023

-----------------
* added support for python 3.11, scipy 1.10, numpy 1.24, wx 4.1.1
* fixed covariance calculation for n-D datasets
* fixed batch mode I/O redirection cleanup
* fixed issue with DREAM bounds checker when running in parallel
* default to single precision derivatives with lm (fixes issue in SasView where OpenCL models failed with Levenberg-Marquardt)
* improved support for repeat fitting within scripts and notebooks (*start_mapper* should now work after *stop_mapper*)

-----------------
* use MPFit in place of scipy.leastsq for bounds-constrained Levenberg-Marquardt
* weights are properly applied to models (nllf) in FitProblem

-----------------
* "apply parameters" action added to GUI menu (does the same as --pars flag in CLI)
* operators refactored (no more eval)
* BoundedNormal keywords renamed (sigma, mu) -> (std, mean)
* support for numba usage in models
* fixed Parameters view jumping to top after toggling fit (linux, Mac)
* fixed Summary view sliders disappearing in linux
* fixed uncertainty plots regenerating at each parameter update
* improved documentation of uncertainty analysis

-----------------
* add stopping conditions to DREAM, using *--alpha=p-value* to reject convergence
* require *--overwrite* or *--resume* when reusing a store directory
* enable outlier trimming in DREAM with --outliers=iqr
* add fitted slope and loglikelihood distribution to the loglikelihood plot
* display seed value used for fit so it can be rerun with *--seed*
* save MCMC files using gzip
* remove R stat from saved state
* restore *--pars* option, which was broken in 0.7.17
* terminate the MPI session when the fit is complete instead of waiting for the
allocation to expire
* allow a series of fits in the same MPI session
* support newest matplotlib

------------------
* restore python 2.7 support