update changelog

Author: segasai

CHANGELOG.md

@@ -8,15 +8,15 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 ### Added
 ### Changed
 ### Fixed
-[3.0.0 - Unreleased]
+[3.0.0 - 2025-10-03]
 ### Added
 - New InternalSampler interface. Now you can create subclasses of
   dynesty.internal_samplers.InternalSampler() to create custom samplers
   you can also provide samplers directly to NestedSampler calls, i.e.
   'ns= NestedSampler(logl, prior, sample=RWalkSampler(walks=4))'
 - Now the results object has proposal_stats information from the samplers with information such as n_accept, n_reject
-- Now all the likelihood functions calls values executed throughout the sampling can be saved using save_evaluation_history option
-
+- Now all the likelihood functions calls values executed throughout the sampling can be saved using save_evaluation_history option even when using parallel sampling
+- New Bound interface. That allows one to implement different bounding strategies than are in standard dynesty
 
 ### Changed
 - Dramatically faster sampling with uniform sampler when using parallelization
@@ -26,10 +26,11 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 - Remove 'user-defined' proposal distribution
 - Remove hslice sampler
 - Change internal attribute from batch_bounds to batch_logl_bounds
-- Change diffeent iterators in the sampler to not return a tuple of things, but instead an special Iterator  object. You can use attributes to fetch things from it.
+- Change different iterators in the sampler to not return a tuple of things, but instead an special Iterator  object. You can use attributes to fetch things from it.
 - Rename various interal attributes and methods for consistency.
 
 ### Fixed
+- The uniform sampling when using a parallel pool should be substantially faster. Previously the parallel sampling did not help much with uniform sampling.
 
 [2.1.5 - 2024-12-17]
 ### Fixed

docs/source/index.rst

@@ -99,16 +99,22 @@ Changelog
     :align: center
 
 
-3.0.0 (2025-09-XX)
+3.0.0 (2025-10-03)
 ------------------
 Major release
 
+This is major release with several infrastructural changes that will make future development of dynesty easier, as well as significant speedups. The release also deprecated some rarely used options.
+
 - Major refactor of the code that makes it easier to add new samplers.
 - You can now provide samplers as classes as arguments NestedSampler(sample=RWalkSampler(walks=44))
 - Major speedup of the uniform sampler when sampling in parallel
 - Convergence statistics are saved for each iteration that can help diagnose issues
 - You can now save the function evaluation history for all function calls throughout the sampling, even when doing it in parallel
+- The Hamiltonian slice sampler was removed because of lack of proper testing and not being mantainable.
+
+The repository has a demo notebook highlighting the main changes in 3.0.
 
+If you see any regression in 3.0, please report it.
 
 
 2.1.5 (2024-12-17)