[FileFormats.MOF] make use_nlp_block=false the default if SNF in model

Author: odow

src/FileFormats/MOF/MOF.jl

@@ -112,14 +112,14 @@ struct Options
     print_compact::Bool
     warn::Bool
     differentiation_backend::MOI.Nonlinear.AbstractAutomaticDifferentiation
-    use_nlp_block::Bool
+    use_nlp_block::Union{Bool,Nothing}
 end
 
 function get_options(m::Model)
     return get(
         m.model.ext,
         :MOF_OPTIONS,
-        Options(false, false, MOI.Nonlinear.SparseReverseMode(), true),
+        Options(false, false, MOI.Nonlinear.SparseReverseMode(), nothing),
     )
 end
 
@@ -144,7 +144,7 @@ function Model(;
     print_compact::Bool = false,
     warn::Bool = false,
     differentiation_backend::MOI.Nonlinear.AbstractAutomaticDifferentiation = MOI.Nonlinear.SparseReverseMode(),
-    use_nlp_block::Bool = true,
+    use_nlp_block::Union{Bool,Nothing} = nothing,
 )
     model = MOI.Utilities.UniversalFallback(InnerModel{Float64}())
     model.model.ext[:MOF_OPTIONS] =

src/FileFormats/MOF/read.jl

@@ -27,7 +27,15 @@ function Base.read!(io::IO, model::Model)
     read_objective(model, object, name_map)
     read_constraints(model, object, name_map)
     options = get_options(model)
-    if options.use_nlp_block
+    # We should convert to NLPBlock if...
+    #                                        |  options.use_nlp_block
+    #                                        | true    false   nothing
+    # object["has_scalar_nonlinear"] = false |   1       0        1
+    #                                = true  |   1       0        0
+    if something(
+           options.use_nlp_block,
+           !get(object, "has_scalar_nonlinear", false),
+       )
         _convert_to_nlpblock(model)
     end
     return

src/FileFormats/MOF/write.jl

@@ -15,10 +15,11 @@ function Base.write(io::IO, model::Model)
     variables, constraints = NamedTuple[], NamedTuple[]
     name_map = _write_variables(variables, model)
     objective = _write_nlpblock(constraints, model, name_map)
+    has_scalar_nonlinear = false
     if objective === nothing
-        objective = _write_objective(model, name_map)
+        objective, has_scalar_nonlinear = _write_objective(model, name_map)
     end
-    _write_constraints(constraints, model, name_map)
+    has_scalar_nonlinear |= _write_constraints(constraints, model, name_map)
     object = (;
         name = "MathOptFormat Model",
         version = (
@@ -29,6 +30,9 @@ function Base.write(io::IO, model::Model)
         objective = objective,
         constraints = constraints,
     )
+    if has_scalar_nonlinear
+        object = (; has_scalar_nonlinear = true, object...)
+    end
     JSON3.write(io, object)
     return
 end
@@ -122,27 +126,30 @@ function _write_objective(
 )
     sense = MOI.get(model, MOI.ObjectiveSense())
     if sense == MOI.FEASIBILITY_SENSE
-        return (; :sense => moi_to_object(sense))
+        return (; :sense => moi_to_object(sense)), false
     end
     F = MOI.get(model, MOI.ObjectiveFunctionType())
     objective_function = MOI.get(model, MOI.ObjectiveFunction{F}())
-    return (;
+    object = (;
         :sense => moi_to_object(sense),
         :function => moi_to_object(objective_function, name_map),
     )
+    return object, (F == MOI.ScalarNonlinearFunction)
 end
 
 function _write_constraints(
     constraints::Vector{NamedTuple},
     model::Model,
     name_map::Dict{MOI.VariableIndex,String},
 )
+    has_scalar_nonlinear = false
     for (F, S) in MOI.get(model, MOI.ListOfConstraintTypesPresent())
+        has_scalar_nonlinear |= (F == MOI.ScalarNonlinearFunction)
         for index in MOI.get(model, MOI.ListOfConstraintIndices{F,S}())
             push!(constraints, moi_to_object(index, model, name_map))
         end
     end
-    return
+    return has_scalar_nonlinear
 end
 
 """

test/FileFormats/MOF/MOF.jl

@@ -767,8 +767,7 @@ variables: x
 minobjective: ScalarNonlinearFunction(exp(x))
 """,
         ["x"],
-        String[];
-        use_nlp_block = false,
+        String[],
     )
 end
 
@@ -779,8 +778,7 @@ variables: x
 c1: ScalarNonlinearFunction(exp(x)^2) <= 1.0
 """,
         ["x"],
-        ["c1"];
-        use_nlp_block = false,
+        ["c1"],
     )
 end
 
@@ -1553,6 +1551,45 @@ function test_write_NLPBlock_no_objective()
     return
 end
 
+function test_use_nlp_block()
+    model = MOF.Model()
+    x = MOI.add_variable(model)
+    MOI.set(model, MOI.VariableName(), x, "x")
+    f = MOI.ScalarNonlinearFunction(:log, Any[x])
+    MOI.set(model, MOI.ObjectiveSense(), MOI.MIN_SENSE)
+    MOI.set(model, MOI.ObjectiveFunction{typeof(f)}(), f)
+    io = IOBuffer()
+    write(io, model)
+    seekstart(io)
+    object = JSON3.read(io, Dict{String,Any})
+    @test object["has_scalar_nonlinear"] == true
+    @test JSONSchema.validate(SCHEMA, object) === nothing
+    # Test (; use_nlp_block = nothing)
+    seekstart(io)
+    model = MOF.Model()
+    read!(io, model)
+    @test MOI.get(model, MOI.NLPBlock()) === nothing
+    @test MOI.get(model, MOI.ObjectiveFunctionType()) ==
+          MOI.ScalarNonlinearFunction
+    # Test (; use_nlp_block = false)
+    seekstart(io)
+    model = MOF.Model(; use_nlp_block = false)
+    read!(io, model)
+    @test MOI.get(model, MOI.NLPBlock()) === nothing
+    @test MOI.get(model, MOI.ObjectiveFunctionType()) ==
+          MOI.ScalarNonlinearFunction
+    # Test (; use_nlp_block = true)
+    seekstart(io)
+    model = MOF.Model(; use_nlp_block = true)
+    read!(io, model)
+    block = MOI.get(model, MOI.NLPBlock())
+    @test block isa MOI.NLPBlockData
+    @test block.has_objective == true
+    @test MOI.get(model, MOI.ObjectiveFunctionType()) ==
+          MOI.ScalarAffineFunction{Float64}
+    return
+end
+
 end
 
 TestMOF.runtests()