multiprocessing#355
Open
rozyczko wants to merge 3 commits into
Open
Conversation
Codecov Report❌ Patch coverage is Additional details and impacted files@@ Coverage Diff @@
## bayesian #355 +/- ##
========================================
Coverage 0.00% 0.00%
========================================
Files 42 42
Lines 2871 2896 +25
========================================
- Misses 2871 2896 +25
Flags with carried forward coverage won't be shown. Click here to find out more.
🚀 New features to boost your workflow:
|
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This pull request introduces two main improvements: it adds support for parallel sampling in the fitting workflow via a new
n_workersparameter, and it implements serialization forCalculatorFactoryto enable correct state sharing across worker processes. Comprehensive tests are included for both features.Parallel Sampling Enhancements
n_workersparameter to thesamplemethod ineasyreflectometry.fitting, enabling parallel population evaluation during sampling and updating the docstring to describe its behavior. The parameter is forwarded to the core fitter and supports sequential (None/1) and parallel (n > 1) execution.CalculatorFactory Serialization
__reduce__and__state_restore__methods inCalculatorFactoryto support pickling and unpickling, preserving the active calculator state (including storage, resolution function, and magnetism) for use in worker processes.tests/calculators/test_factory.pyto ensure that pickled and restoredCalculatorFactoryinstances retain their model storage and produce identical results.Dependency Update
easysciencedependency inpyproject.tomlto use thebayesian_mpbranch, which likely includes required multiprocessing support.