Bayesian post-analysis using BUMPS DREAM

[rozyczko]

A new Bayesian MCMC sampling interface. This enables users to perform posterior sampling using the BUMPS DREAM sampler directly from both the MultiFitter and BUMPS minimizer classes.

• Added a sample method to MultiFitter that flattens multi-dataset arrays, resolves parameter aliases, and delegates to the minimizer’s sampling method, supporting both 1D and vectorized multi-dimensional fits.
• Implemented a sample method in the BUMPS minimizer (minimizer_bumps.py) that builds a BUMPS FitProblem and runs the DREAM sampler, returning posterior draws, parameter names, sampler state, and log-probabilities.

[codecov]

Codecov Report

❌ Patch coverage is 92.68293% with 6 lines in your changes missing coverage. Please review.
✅ Project coverage is 82.78%. Comparing base (0216322) to head (8aa06c1).

Files with missing lines	Patch %	Lines
.../easyscience/fitting/minimizers/minimizer_bumps.py	89.83%	6 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff             @@
##           develop     #244      +/-   ##
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+ Coverage    82.59%   82.78%   +0.18%     
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  Files           62       62              
  Lines         4959     5041      +82     
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+ Hits          4096     4173      +77     
- Misses         863      868       +5     

Flag	Coverage Δ
integration	44.13% <74.39%> (+0.52%)	⬆️
unittests	82.22% <89.02%> (+0.89%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines	Coverage Δ
src/easyscience/fitting/multi_fitter.py	98.92% <100.00%> (+1.78%)	⬆️
.../easyscience/fitting/minimizers/minimizer_bumps.py	97.15% <89.83%> (-2.32%)	⬇️