Rename IIF abstract types

Author: Affie

NEWS.md

@@ -1,6 +1,14 @@
 Listing news on any major breaking changes in DFG.  For regular changes, see integrated Github.com project milestones for DFG.
 # v0.28
 - Reading or deserialzing of factor graphs created prior to v0.25 are no longer suppoted with the complete removal of User/Robot/Session
+- Deprecated AbstractRelativeMinimize and AbstractManifoldsMinimize
+
+#TODO pending: 
+- AbstractPrior -> AbstractPriorObservation/PriorObservation
+- AbstractRelative -> RelativeObservation/RelativeObservation
+- InferenceType -> AbstractPackedFactorObservation
+- InferenceVariable -> [Abstract]VariableStateType/AbstractVarstateType
+- PackedSamplableBelief -> [Abstract]PackedBelief
 
 # v0.27
 - `delete` returns number of nodes deleted and no longer the object that was deleted.

src/Deprecated.jl

@@ -1,3 +1,25 @@
+## ================================================================================
+## Deprecated in v0.28
+##=================================================================================
+export AbstractRelativeMinimize,
+    AbstractManifoldMinimize,
+    AbstractPrior,
+    AbstractRelative,
+    InferenceVariable,
+    InferenceType,
+    PackedSamplableBelief
+
+const AbstractPrior = PriorObservation
+const AbstractRelative = RelativeObservation
+
+abstract type AbstractRelativeMinimize <: RelativeObservation end
+abstract type AbstractManifoldMinimize <: RelativeObservation end
+
+const InferenceVariable = VariableStateType{Any}
+const InferenceType = AbstractPackedFactorObservation
+
+const PackedSamplableBelief = PackedBelief
+
 ## ================================================================================
 ## Deprecated in v0.27
 ##=================================================================================
@@ -430,15 +452,15 @@ function getFactorOperationalMemoryType(dfg::AbstractDFG)
     return getFactorOperationalMemoryType(getSolverParams(dfg))
 end
 
-function typeModuleName(variableType::InferenceVariable)
+function typeModuleName(variableType::VariableStateType)
     Base.depwarn("typeModuleName is obsolete", :typeModuleName)
     io = IOBuffer()
     ioc = IOContext(io, :module => DistributedFactorGraphs)
     show(ioc, typeof(variableType))
     return String(take!(io))
 end
 
-typeModuleName(varT::Type{<:InferenceVariable}) = typeModuleName(varT())
+typeModuleName(varT::Type{<:VariableStateType}) = typeModuleName(varT())
 
 ## ================================================================================
 ## Deprecated in v0.25

src/DistributedFactorGraphs.jl

@@ -171,7 +171,7 @@ export listTags, mergeTags!, removeTags!, emptyTags!
 # Variable
 ##------------------------------------------------------------------------------
 # Abstract Variable Data
-export InferenceVariable
+export VariableStateType
 
 # accessors
 export getSolverDataDict, setSolverData!
@@ -257,7 +257,7 @@ export @format_str # exported from FileIO
 ##------------------------------------------------------------------------------
 # Factor Data
 export AbstractFactorObservation, AbstractPackedFactorObservation
-export AbstractPrior, AbstractRelative, AbstractRelativeMinimize, AbstractManifoldMinimize
+export PriorObservation, RelativeObservation
 export FactorSolverCache
 
 # accessors

src/entities/DFGFactor.jl

@@ -5,11 +5,9 @@
 abstract type AbstractPackedFactorObservation end
 abstract type AbstractFactorObservation end
 
-abstract type AbstractPrior <: AbstractFactorObservation end
-abstract type AbstractRelative <: AbstractFactorObservation end
-abstract type AbstractRelativeMinimize <: AbstractRelative end
-abstract type AbstractManifoldMinimize <: AbstractRelative end
-
+abstract type PriorObservation <: AbstractFactorObservation end
+abstract type RelativeObservation <: AbstractFactorObservation end
+abstract type PackedObservation <: AbstractFactorObservation end
 # NOTE DF, Convolution is IIF idea, but DFG should know about "FactorSolverCache"
 # DF, IIF.CommonConvWrapper <: FactorSolverCache #
 # NOTE was `<: Function` as unnecessary
@@ -129,16 +127,6 @@ end
 
 FactorDFG(f::FactorDFG) = f
 
-# TODO consolidate to just one type
-"""
-$(TYPEDEF)
-Abstract parent type for all InferenceTypes, which are the
-observation functions inside of factors.
-"""
-abstract type InferenceType <: AbstractPackedFactorObservation end
-
-#TODO deprecate InferenceType in favor of AbstractPackedFactorObservation v0.26
-
 # Packed Factor constructor
 function assembleFactorName(xisyms::Union{Vector{String}, Vector{Symbol}})
     return Symbol(xisyms..., "_f", randstring(4))

src/entities/DFGVariable.jl

@@ -2,7 +2,7 @@
 ## Abstract Types
 ##==============================================================================
 
-abstract type InferenceVariable end
+abstract type VariableStateType{N} end
 
 ##==============================================================================
 ## VariableState
@@ -19,7 +19,7 @@ N: Manifold dimension.
 Fields:
 $(TYPEDFIELDS)
 """
-Base.@kwdef mutable struct VariableState{T <: InferenceVariable, P, N}
+Base.@kwdef mutable struct VariableState{T <: VariableStateType, P, N}
     """
     Globally unique identifier.
     """
@@ -82,10 +82,10 @@ end
 
 ##------------------------------------------------------------------------------
 ## Constructors
-function VariableState{T}(; kwargs...) where {T <: InferenceVariable}
+function VariableState{T}(; kwargs...) where {T <: VariableStateType}
     return VariableState{T, getPointType(T), getDimension(T)}(; kwargs...)
 end
-function VariableState(variableType::InferenceVariable; kwargs...)
+function VariableState(variableType::VariableStateType; kwargs...)
     return VariableState{typeof(variableType)}(; kwargs...)
 end
 
@@ -283,7 +283,7 @@ Complete variable structure for a DistributedFactorGraph variable.
 Fields:
 $(TYPEDFIELDS)
 """
-Base.@kwdef struct VariableCompute{T <: InferenceVariable, P, N} <: AbstractDFGVariable
+Base.@kwdef struct VariableCompute{T <: VariableStateType, P, N} <: AbstractDFGVariable
     """The ID for the variable"""
     id::Union{UUID, Nothing} = nothing
     """Variable label, e.g. :x1.
@@ -325,7 +325,7 @@ The default VariableCompute constructor.
 """
 function VariableCompute(
     label::Symbol,
-    T::Type{<:InferenceVariable};
+    T::Type{<:VariableStateType};
     timestamp::ZonedDateTime = now(localzone()),
     solvable::Union{Int, Base.RefValue{Int}} = Ref(1),
     kwargs...,
@@ -337,7 +337,7 @@ function VariableCompute(
     return VariableCompute{T, P, N}(; label, timestamp, solvable, kwargs...)
 end
 
-function VariableCompute(label::Symbol, variableType::InferenceVariable; kwargs...)
+function VariableCompute(label::Symbol, variableType::VariableStateType; kwargs...)
     return VariableCompute(label, typeof(variableType); kwargs...)
 end
 

src/services/AbstractDFG.jl

@@ -601,7 +601,7 @@ end
 # to be consolidated, see #612
 function listVariables(
     dfg::AbstractDFG,
-    typeFilter::Type{<:InferenceVariable};
+    typeFilter::Type{<:VariableStateType};
     tags::Vector{Symbol} = Symbol[],
     solvable::Int = 0,
 )
@@ -667,7 +667,7 @@ end
 
 function listSolveKeys(
     dfg::AbstractDFG,
-    filterVariables::Union{Type{<:InferenceVariable}, Regex, Nothing} = nothing;
+    filterVariables::Union{Type{<:VariableStateType}, Regex, Nothing} = nothing;
     filterSolveKeys::Union{Regex, Nothing} = nothing,
     tags::Vector{Symbol} = Symbol[],
     solvable::Int = 0,
@@ -747,7 +747,7 @@ end
 ## list by types
 ##--------------
 
-function ls(dfg::G, ::Type{T}) where {G <: AbstractDFG, T <: InferenceVariable}
+function ls(dfg::G, ::Type{T}) where {G <: AbstractDFG, T <: VariableStateType}
     xx = getVariables(dfg)
     mask = getVariableType.(xx) .|> typeof .== T
     vxx = view(xx, mask)

src/services/CompareUtils.jl

@@ -6,11 +6,11 @@ import Base.==
 # Reference https://github.com/JuliaLang/julia/issues/4648
 
 #=
-For now abstract `InferenceVariable`s are considered equal if they are the same type, dims, and manifolds (abels are deprecated)
+For now abstract `VariableStateType`s are considered equal if they are the same type, dims, and manifolds (abels are deprecated)
 If your implentation has aditional properties such as `DynPose2` with `ut::Int64` (microsecond time) or support different manifolds
 implement compare if needed.
 =#
-# ==(a::InferenceVariable,b::InferenceVariable) = typeof(a) == typeof(b) && a.dims == b.dims && a.manifolds == b.manifolds
+# ==(a::VariableStateType,b::VariableStateType) = typeof(a) == typeof(b) && a.dims == b.dims && a.manifolds == b.manifolds
 
 ==(a::FactorSolverCache, b::FactorSolverCache) = typeof(a) == typeof(b)
 

src/services/DFGFactor.jl

@@ -102,61 +102,61 @@ using RoME
 @assert RoME.PriorPose2 == DFG._getPriorType(Pose2)
 ```
 """
-function _getPriorType(_type::Type{<:InferenceVariable})
+function _getPriorType(_type::Type{<:VariableStateType})
     return getfield(_type.name.module, Symbol(:Prior, _type.name.name))
 end
 
 ##==============================================================================
 ## Default Factors Function Macro
 ##==============================================================================
-export PackedSamplableBelief
+export PackedBelief
 
 function pack end
 function unpack end
 function packDistribution end
 function unpackDistribution end
 
-abstract type PackedSamplableBelief end
-StructTypes.StructType(::Type{<:PackedSamplableBelief}) = StructTypes.UnorderedStruct()
+abstract type PackedBelief end
+StructTypes.StructType(::Type{<:PackedBelief}) = StructTypes.UnorderedStruct()
 
 #TODO remove, rather use StructTypes.jl properly
-function Base.convert(::Type{<:PackedSamplableBelief}, nt::Union{NamedTuple, JSON3.Object})
+function Base.convert(::Type{<:PackedBelief}, nt::Union{NamedTuple, JSON3.Object})
     distrType = getTypeFromSerializationModule(nt._type)
     return distrType(; nt...)
 end
 
 """
-    @defFactorType StructName factortype<:AbstractFactorObservation manifolds<:AbstractManifold
+    @defObservationType StructName factortype<:AbstractFactorObservation manifolds<:AbstractManifold
 
 A macro to create a new factor function with name `StructName` and manifold. Note that
 the `manifold` is an object and *must* be a subtype of `ManifoldsBase.AbstractManifold`.
 See documentation in [Manifolds.jl on making your own](https://juliamanifolds.github.io/Manifolds.jl/stable/examples/manifold.html). 
 
 Example:
 ```
-DFG.@defFactorType Pose2Pose2 AbstractManifoldMinimize SpecialEuclidean(2)
+DFG.@defObservationType Pose2Pose2 RelativeObservation SpecialEuclidean(2)
 ```
 """
-macro defFactorType(structname, factortype, manifold)
+macro defObservationType(structname, factortype, manifold)
     packedstructname = Symbol("Packed", structname)
     return esc(
         quote
             # user manifold must be a <:Manifold
-            @assert ($manifold isa AbstractManifold) "@defFactorType manifold (" *
+            @assert ($manifold isa AbstractManifold) "@defObservationType manifold (" *
                                                      string($manifold) *
                                                      ") is not an `AbstractManifold`"
 
-            @assert ($factortype <: AbstractFactorObservation) "@defFactorType factortype (" *
+            @assert ($factortype <: AbstractFactorObservation) "@defObservationType factortype (" *
                                                                string($factortype) *
                                                                ") is not an `AbstractFactorObservation`"
 
             Base.@__doc__ struct $structname{T} <: $factortype
                 Z::T
             end
 
-            #TODO should this be $packedstructname{T <: PackedSamplableBelief}
+            #TODO should this be $packedstructname{T <: PackedBelief}
             Base.@__doc__ struct $packedstructname <: AbstractPackedFactorObservation
-                Z::PackedSamplableBelief
+                Z::PackedBelief
             end
 
             # $structname(; Z) = $structname(Z)                                                     
@@ -275,11 +275,11 @@ function isPrior(dfg::AbstractDFG, fc::Symbol)
     return isPrior(getFactorType(fco))
 end
 
-function isPrior(::AbstractPrior)
+function isPrior(::PriorObservation)
     return true
 end
 
-function isPrior(::AbstractRelative)
+function isPrior(::RelativeObservation)
     return false
 end