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Release 6 (#600)
* add Changelog * Implement event handler system for message passing and callbacks (#587) * feat: add event handler system for message passing procedure Introduce a new event handler mechanism that allows users to hook into the message passing procedure via `Event`, `handle_event`, and `broadcast_event` functions. Events are broadcast before and after message rule calls, enabling debugging and monitoring capabilities. Key changes: - Add `event_handler.jl` with event types and handler interfaces - Extend `MessageMapping` to include an event handler parameter - Support both custom handler types and NamedTuple-based handlers - Add documentation for the events system - Include comprehensive tests for event handler functionality * type in docstring * inject the event handler in the factor node activation options * make format * document the existing events better * rename event handler to callbacks to better match RxInfer * update docs * use make format * fix typo * allow to merge callbacks * allow reduce the result of the callbacks * add per-event callback reducer * make format * remove test method * start reimplement of the product of two messages this is required to inject the callbacks properly, plus we do the breaking release already. Could break (and improve) more things as well then * fix initial integration with RxInfer.jl * fix Aqua tests * caught a small bug in RxInfer tests * caught another bug from RxInfer.jl tests * merge stricter formatting * Refactor the variables, add docstrings, add labels - `compute_product_of_messages` now accepts the `AbstractVariable`, makes it easier to identify the variable inside the callback * fix documentation build * 2prev * add before/after product of two messages callbacks * fix failing tests * add before/after product of messages callbacks. add before/after form constraints * add before/after marginal compute callbacks * add error hint in case of wrong passed callbacks * fix test * temporary fix for the logscale switch rule * support Dict as callback handler * fix warnings in the tests * make format * refactor to use an abstract Event{E} structure * add new method for event_name * use mutable fields instead * update CHANGELOG * Trace ID to link before and after events (#589) * Trace ID to link before and after events * Add allocations test * disable some allocation tests on old julia versions * Change sqrt to + and remove version check * only check on julia 1.12 again * Better trace ids (#595) * create IDs only if callbacks are set * fix one failing test * make format * Refactor addon system to annotations (#596) * save plan * update * refine the plan * refine plan 2 * implement post_product/post_rule annotations infrastructure * reimplement the memory addon, remove old implementation * commit new file * make format * update plan * refactor the message.jl and message_tests.jl * update marginals.jl and marginal_tests.jl * remove old bridge functions * refactor the rule macro and the rule generating expression * refactor the nodes and tests * fix remaining places where addons were used * fix a lot of tests by hand * fix more tests by hand * update the plan * finish the refactor, update the documentation with migration guide, update CHANGELOG * fix from RxInfer * fix bugs caught in RxInfer * fix documentation build * add pretty output for input argument records * 🤖 Auto-format Julia code (#597) Co-authored-by: bvdmitri <6557701+bvdmitri@users.noreply.github.com> --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: bvdmitri <6557701+bvdmitri@users.noreply.github.com> * checkpoint * checkpoint * checkpoint * make format * fix some tests by hand * fix more tests by hand * local update * fix more tests * rename vague messagein/messageout * make format * major documentation upgrade * update the CHANGELOG and migration guide * structural documentation update, add concepts * improve documentation for existing pages about specific nodes * update helpers documentation * add concepts pages * finish the documentation overhaul * update the docs * update the version to 6.0.0 * rename pipeline to stream postprocessors * update the scheduler to use stream postprocessors instead * add postprocess marginal stream * simplify API even further * update docs * make format * fix typo in mixture nodes * update * add pre_rule_annotations * add logo, update README.md * make logo half the size in README --------- Co-authored-by: Fons van der Plas <fonsvdplas@gmail.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: bvdmitri <6557701+bvdmitri@users.noreply.github.com>
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‎.github/workflows/Changelog.yml‎

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name: Check CHANGELOG.md
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on:
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pull_request:
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types: [assigned, opened, synchronize, reopened, labeled, unlabeled]
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branches:
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- main
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jobs:
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check-changelog:
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name: Check Changelog Action
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runs-on: ubuntu-latest
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steps:
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- uses: tarides/changelog-check-action@v2
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with:
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changelog: CHANGELOG.md

‎CHANGELOG.md‎

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# Changelog
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All notable changes to ReactiveMP.jl will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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## [6.0.0]
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### Added
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- `AbstractStreamPostprocessor` abstraction unifying the old pipeline stages and the per-node `scheduler` argument under a single concept that postprocesses outbound message streams, marginal streams, and score streams uniformly
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- `postprocess_stream_of_outbound_messages`, `postprocess_stream_of_marginals`, `postprocess_stream_of_scores` entry points with `::Nothing` pass-through fallbacks
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- `CompositeStreamPostprocessor` for chaining multiple postprocessors
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- `ScheduleOnStreamPostprocessor` — direct successor of `ScheduleOnPipelineStage` plus the per-node scheduler, applies a Rocket.jl scheduler to all three stream kinds
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- Marginal streams and score streams now go through stream postprocessors (previously only outbound message streams did)
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- Documentation page for stream postprocessors
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- Callback/event system for hooking into message passing steps (rule calls, message products, form constraints, marginal computation)
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- `MessageProductContext` struct to bundle product computation settings and callbacks
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- Labels for variables (`RandomVariable`, `ConstVariable`, `DataVariable`)
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- Docstrings for variable types, form constraints, and related functions
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- Documentation page for callbacks
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- `MethodError` hint for mismatched `handle_event` signatures
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- New annotations system: `AnnotationDict`, `AbstractAnnotations`, `LogScaleAnnotations`, `InputArgumentsAnnotations`
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- `post_rule_annotations!` and `post_product_annotations!` callbacks for annotation processors
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- `@logscale value` macro for setting log-scale annotations inside `@rule` bodies
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- `getannotations` function for `Message` and `Marginal`
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- Migration guide for v5 to v6
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- `skip_initial()`, `skip_clamped()`, `skip_clamped_and_initial()` filter operators replacing the `MarginalSkipStrategy` type hierarchy
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- `new_observation!(datavar, value)` for pushing observed values into a `DataVariable`
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- `get_stream_of_inbound_messages`, `get_stream_of_outbound_messages` accessors on `NodeInterface` and `IndexedNodeInterface`
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- `get_stream_of_marginals`, `set_stream_of_marginals!` accessors on variables
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- `get_stream_of_predictions`, `set_stream_of_predictions!` accessors on variables
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- `set_initial_marginal!`, `set_initial_message!` for seeding variables before inference
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- `create_new_stream_of_inbound_messages!` for allocating per-connection message streams
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- Docstrings for `MessageObservable`, `MarginalObservable`, `FunctionalDependencies`, `collect_functional_dependencies`, `RandomVariableActivationOptions`, `DataVariableActivationOptions`, `FactorNodeActivationOptions`, and `activate!` methods
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- Expanded documentation for variables (stream creation lifecycle per variable type), nodes (interfaces, activation), messages, and marginals
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### Changed
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- `FactorNodeActivationOptions` lost its `pipeline` and `scheduler` positional fields and gained a single `postprocessor` field
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- `RandomVariableActivationOptions` renamed its `scheduler` field to `stream_postprocessor`; the default is now `nothing` (no-op) instead of `AsapScheduler()`
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- `getpipeline(options)` and `getscheduler(options)` replaced by `getpostprocessor(options)`
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- `EqualityChain` renamed its `pipeline` field to `postprocessor`
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- Switched from `ReTestItems` to `TestItemRunner` for tests ([#584](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/584))
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- Made formatting checks stricter
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- Removed `variables/generic.jl`; generic variable interface moved into `variable.jl`
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- Replaced hardcoded `DefaultMessageProdFn`/`DefaultMarginalProdFn` with `MessageProductContext`
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- `Message{D, A}` → `Message{D}` (type parameter `A` removed)
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- `Marginal{D, A}` → `Marginal{D}` (type parameter `A` removed)
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- `Message` and `Marginal` now carry an `AnnotationDict` instead of a typed addons tuple
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- Rules no longer return `(result, addons)` tuples — just the result
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- `@call_rule` no longer supports `return_addons` option; use `annotations` keyword with `AnnotationDict`
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- `MessageMapping.addons` field → `MessageMapping.annotations`
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- `MessageProductContext` gained `annotations` field for product-time annotation processors
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- `messagein(interface)` → `get_stream_of_inbound_messages(interface)`
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- `messageout(interface)` → `get_stream_of_outbound_messages(interface)`
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- `getmarginal(variable)` / `getmarginals` → `get_stream_of_marginals(variable)`
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- `getprediction(variable)` / `getpredictions` → `get_stream_of_predictions(variable)`
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- `setmarginal!(variable, value)` → `set_initial_marginal!(variable, value)`
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- `setmessage!(variable, value)` → `set_initial_message!(variable, value)`
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- `update!(datavar, value)` → `new_observation!(datavar, value)`
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### Removed
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- `AbstractPipelineStage`, `EmptyPipelineStage`, `CompositePipelineStage`, `ScheduleOnPipelineStage`, `apply_pipeline_stage`, `collect_pipeline`, `+` composition — replaced by the `AbstractStreamPostprocessor` abstraction (see migration guide)
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- `LoggerPipelineStage` — equivalent behaviour can be implemented via callbacks
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- `AsyncPipelineStage` — use `ScheduleOnStreamPostprocessor(AsyncScheduler())` instead
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- `DiscontinuePipelineStage` — was unused; implement a custom `AbstractStreamPostprocessor` if needed
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- `schedule_updates(vars; pipeline_stage = ...)` — construct a `ScheduleOnStreamPostprocessor` and pass it through the activation options instead
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- `getaddons` — use `getannotations` instead
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- `getlogscale(::Message)`, `getlogscale(::Marginal)` — use `getlogscale(getannotations(...))` instead
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- `getmemory`, `getmemoryaddon` — use `get_rule_input_arguments(getannotations(...))` instead
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- `AddonLogScale` — replaced by `LogScaleAnnotations` (calling `AddonLogScale()` throws a descriptive error)
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- `AddonMemory` — replaced by `InputArgumentsAnnotations` (calling `AddonMemory()` throws a descriptive error)
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- `AddonDebug` — use callbacks instead
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- `AbstractAddon`, `multiply_addons`, `@invokeaddon`
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- `message_mapping_addons`, `message_mapping_addon` helper functions
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- `MarginalSkipStrategy` abstract type and `SkipClamped`, `SkipInitial`, `SkipClampedAndInitial`, `IncludeAll` subtypes — use `skip_clamped()`, `skip_initial()`, `skip_clamped_and_initial()` filter operators instead
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- `apply_skip_filter`, `as_marginal_observable` — no longer part of the public API
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- `messagein`, `messageout` — use `get_stream_of_inbound_messages`, `get_stream_of_outbound_messages`
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- `getmarginal`, `getmarginals`, `getprediction`, `getpredictions` — use `get_stream_of_marginals`, `get_stream_of_predictions`
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- `setmarginal!`, `setmarginals!`, `setmessage!`, `setmessages!` — use `set_initial_marginal!`, `set_initial_message!`
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- `update!` — use `new_observation!`
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- `create_messagein!` — use `create_new_stream_of_inbound_messages!`
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## [5.6.6] - 2026-03-13
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### Fixed
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- Implemented effective rules with specialized dispatch for `MvNormalMeanScalePrecision` ([#579](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/579))
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### Tests
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- Added performance test for structured rule specialized for `MvNormalMeanScalePrecision`
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## [5.6.5] - 2026-02-02
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### Added
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- Implemented `MvNormalWishart` node and `out` rule ([#565](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/565))
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- Issue templates ([#558](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/558))
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- Rule interface name checking for `@rule`, `@marginalrule`, and `@average_energy` macros ([#545](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/545))
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### Changed
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- Removed `Requires` dependency (used for Julia <1.9, no longer supported) ([#564](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/564))
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- Removed vibe coded required fields from issue template ([#562](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/562))
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- Bumped compat for Optim to 2 ([#574](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/574))
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- Removed `Zygote` extension requirement for compatibility
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### Fixed
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- Fixed documentation build ([#567](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/567))
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### Performance
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- Pre-computed double loops in CT model ([#571](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/571))
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## [5.6.4] - 2025-11-18
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### Fixed
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- Fixed bug in average energy of `Uninformative` type ([#553](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/553))
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- Improved robustness of inverse precision matrix computation in `MvNormalMeanPrecision` rule ([#540](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/540))
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### Documentation
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- Added `MessageMapping` documentation ([#550](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/550))
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## [5.6.3] - 2025-11-04
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### Added
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- Added `IntegrationTest.yml` workflow ([#525](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/525))
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- Implemented missing marginal rule for multiplication node ([#531](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/531))
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### Changed
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- Changed dispatch to `AbstractVector` to allow other vector implementations ([#536](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/536))
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### Fixed
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- Renamed softdot marginal rules test file to include it in test runs ([#535](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/535))
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- Avoided `Vararg` deprecation warnings ([#537](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/537))
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- Defined `AverageEnergy` for `Mixture` node with warning ([#546](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/546))
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- Allowed different numeric types for `GammaShapeLikelihood` constructor ([#544](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/544))
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### Tests
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- Improved code coverage with tests for BIFM, Autoregressive, Mixture, GammaMixture, Wishart, InverseWishart, DotProduct, Multiplication, and Uniform nodes ([#539](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/539))
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## [5.6.2] - 2025-10-21
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### Fixed
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- Fixed `isonehot` to use approximate comparison for categorical rules ([#527](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/527))
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## [5.6.1] - 2025-10-21
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### Added
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- Categorical rules: check if probability vector of `q_out` is a one-hot encoded vector ([#510](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/510))
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- Support for non-linear node (univariate -> multivariate) with Unscented transform ([#508](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/508))
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### Changed
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- Updated `ForwardDiff` to version 1 ([#521](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/521))
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- Skip Aqua.jl checks during selective test runs ([#523](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/523))
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- Makefile: fixed selective test runs with `test_args` argument ([#517](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/517))
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### Fixed
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- Updated documentation for `as_marginal` ([#516](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/516))
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- Updated test cases for `GammaShapeScale`
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## [5.6.0] - 2025-09-23
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### Changed
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- Use `MvNormalMeanScaleMatrixPrecision` from ExponentialFamily package ([#509](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/509))
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## [5.5.12] - 2025-09-11
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### Fixed
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- Fixed `q_t1` dimensionality bug in delta node rules ([#504](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/504))
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## [5.5.11] - 2025-09-10
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### Added
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- Implemented `MvNormalMeanScaleMatrixPrecision` rules ([#497](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/497))
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## [5.5.10] - 2025-09-09
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### Fixed
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- Added new linearization method ([#500](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/500))
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## [5.5.9] - 2025-08-14
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### Changed
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- Reverted "Don't check for proper in division of" ([#496](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/496))
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## [5.5.8] - 2025-08-14
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### Added
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- Show meta suggestions in rule error printing ([#495](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/495))
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### Changed
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- Tightened dispatch for summation and other optimized rules ([#492](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/492), [#493](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/493))
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### Fixed
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- Don't check for proper in division of to accommodate inference ([#486](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/486))
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## [5.5.7] - 2025-07-24
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### Fixed
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- Fixed infinite RxInfer documentation build by not using lazy string ([#490](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/490))
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## [5.5.6] - 2025-07-23
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### Fixed
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- Fixed invalidations: removed bad `eltype` methods, `convert`, and `println` method ([#489](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/489))
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## [5.5.5] - 2025-07-23
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### Fixed
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- Resolved Gaussian division with proper Multivariate vs Univariate handling ([#479](https://github.com/ReactiveBayes/ReactiveMP.jl/pull/479))
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---
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[Unreleased]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.6.6...HEAD
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[5.6.6]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.6.5...v5.6.6
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[5.6.5]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.6.4...v5.6.5
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[5.6.4]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.6.3...v5.6.4
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[5.6.3]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.6.2...v5.6.3
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[5.6.2]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.6.1...v5.6.2
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[5.6.1]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.6.0...v5.6.1
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[5.6.0]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.5.12...v5.6.0
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[5.5.12]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.5.11...v5.5.12
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[5.5.11]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.5.10...v5.5.11
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[5.5.10]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.5.9...v5.5.10
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[5.5.9]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.5.8...v5.5.9
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[5.5.8]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.5.7...v5.5.8
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[5.5.7]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.5.6...v5.5.7
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[5.5.6]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.5.5...v5.5.6
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[5.5.5]: https://github.com/ReactiveBayes/ReactiveMP.jl/compare/v5.5.4...v5.5.5

‎CONTRIBUTING.md‎

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# Contributing to ReactiveMP
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**ReactiveMP.jl** is a community-driven reactive message passing engine and we welcome contributions of all kinds!
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ReactiveMP is part of the [ReactiveBayes](https://github.com/ReactiveBayes) organization and the broader [RxInfer](https://github.com/ReactiveBayes/RxInfer.jl) ecosystem for reactive Bayesian inference in Julia.
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## Getting Started
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* Browse **beginner-friendly issues**: https://github.com/ReactiveBayes/ReactiveMP.jl/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22
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* Check out the [RxInfer Contributing Guide](https://docs.rxinfer.com/stable/contributing/guide) for general conventions shared across the ecosystem
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We welcome contributions such as:
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* Bug reports and fixes
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* New message passing rules and nodes
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* Documentation improvements
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* Tests and performance improvements
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* Feature suggestions
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## Development Workflow
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1. Fork the repository and create a feature branch
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2. Make your changes and ensure tests pass locally with `make test`
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3. Run `make format` to ensure consistent code formatting
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4. Open a pull request against `main` — the CI will check tests, formatting, and that `CHANGELOG.md` has been updated
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## Contributing to the RxInfer Ecosystem
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ReactiveMP is one of several packages in the RxInfer ecosystem. Contributions to any of these projects are very welcome:
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- [RxInfer.jl](https://github.com/ReactiveBayes/RxInfer.jl) — the high-level inference package
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- [GraphPPL.jl](https://github.com/ReactiveBayes/GraphPPL.jl) — probabilistic model specification
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- [ExponentialFamily.jl](https://github.com/ReactiveBayes/ExponentialFamily.jl) — exponential family distributions
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- Browse other packages at https://github.com/ReactiveBayes
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If you're unsure where to start or where a contribution belongs, feel free to open an issue or start a discussion.
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Thank you for helping improve ReactiveMP!

‎Project.toml‎

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name = "ReactiveMP"
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uuid = "a194aa59-28ba-4574-a09c-4a745416d6e3"
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version = "5.6.6"
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authors = ["Dmitry Bagaev <d.v.bagaev@tue.nl>", "Albert Podusenko <a.podusenko@tue.nl>", "Bart van Erp <b.v.erp@tue.nl>", "Ismail Senoz <i.senoz@tue.nl>"]
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version = "6.0.0"
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[deps]
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BayesBase = "b4ee3484-f114-42fe-b91c-797d54a0c67e"
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TinyHugeNumbers = "783c9a47-75a3-44ac-a16b-f1ab7b3acf04"
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Tullio = "bc48ee85-29a4-5162-ae0b-a64e1601d4bc"
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TupleTools = "9d95972d-f1c8-5527-a6e0-b4b365fa01f6"
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UUIDs = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"
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[weakdeps]
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ExponentialFamilyProjection = "17f509fa-9a96-44ba-99b2-1c5f01f0931b"
@@ -68,6 +69,7 @@ StatsFuns = "1.3.0"
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TinyHugeNumbers = "1.0.0"
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Tullio = "0.3"
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TupleTools = "1.2.0"
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UUIDs = "1"
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julia = "1.10"
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[extras]
@@ -87,9 +89,9 @@ Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
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Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
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PkgBenchmark = "32113eaa-f34f-5b0d-bd6c-c81e245fc73d"
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REPL = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
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TestItemRunner = "f8b46487-2199-4994-9208-9a1283c18c0a"
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StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
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Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
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TestItemRunner = "f8b46487-2199-4994-9208-9a1283c18c0a"
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[targets]
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test = ["Aqua", "TestItemRunner", "Test", "Pkg", "Logging", "InteractiveUtils", "Coverage", "Dates", "Distributed", "Documenter", "BenchmarkTools", "JET", "PkgBenchmark", "StableRNGs", "Optimisers", "DiffResults", "ExponentialFamilyProjection", "REPL", "Manopt"]

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