Improve test coverage

src/algorithms/Chalmet.jl

@@ -17,7 +17,7 @@ Research. 25(2), 292-300
  * `MOI.TimeLimitSec()`: terminate if the time limit is exceeded and return the
    list of current solutions.
 """
-mutable struct Chalmet <: AbstractAlgorithm end
+struct Chalmet <: AbstractAlgorithm end
 
 function _solve_constrained_model(
     model::Optimizer,

src/algorithms/DominguezRios.jl

@@ -17,7 +17,7 @@ Sciences, 565(7), 210-228.
  * `MOI.TimeLimitSec()`: terminate if the time limit is exceeded and return the
    list of current solutions.
 """
-mutable struct DominguezRios <: AbstractAlgorithm end
+struct DominguezRios <: AbstractAlgorithm end
 
 mutable struct _DominguezRiosBox
     l::Vector{Float64}

src/algorithms/KirlikSayin.jl

@@ -22,7 +22,7 @@ is solved for each rectangle.
  * `MOI.TimeLimitSec()`: terminate if the time limit is exceeded and return the
     list of current solutions.
 """
-mutable struct KirlikSayin <: AbstractAlgorithm end
+struct KirlikSayin <: AbstractAlgorithm end
 
 struct _Rectangle
     l::Vector{Float64}

src/algorithms/TambyVanderpooten.jl

@@ -23,7 +23,7 @@ reformulation is solved using one of the defining points as a starting solution.
  * `MOI.TimeLimitSec()`: terminate if the time limit is exceeded and return the
     list of current solutions.
 """
-mutable struct TambyVanderpooten <: AbstractAlgorithm end
+struct TambyVanderpooten <: AbstractAlgorithm end
 
 function _update_search_region(
     U_N::Dict{Vector{Float64},Vector{Vector{Vector{Float64}}}},

test/algorithms/EpsilonConstraint.jl

@@ -285,6 +285,7 @@ function test_deprecated()
     model = MOA.Optimizer(HiGHS.Optimizer)
     MOI.set(model, MOA.Algorithm(), MOA.EpsilonConstraint())
     @test MOI.supports(model, MOA.ObjectiveAbsoluteTolerance(1))
+    @test MOA.default(MOA.ObjectiveAbsoluteTolerance(1)) == 0.0
     @test_logs (:warn,) MOI.set(model, MOA.ObjectiveAbsoluteTolerance(1), 1.0)
     @test_logs (:warn,) MOI.get(model, MOA.ObjectiveAbsoluteTolerance(1))
     return

test/test_model.jl

@@ -123,6 +123,56 @@ function test_unnsupported_attributes()
     return
 end
 
+function test_invalid_model()
+    model = MOA.Optimizer(HiGHS.Optimizer)
+    MOI.optimize!(model)
+    @test MOI.get(model, MOI.TerminationStatus()) == MOI.INVALID_MODEL
+    return
+end
+
+function test_raw_optimizer_attribuute()
+    model = MOA.Optimizer(HiGHS.Optimizer)
+    attr = MOI.RawOptimizerAttribute("presolve")
+    @test MOI.supports(model, attr)
+    @test MOI.get(model, attr) == "choose"
+    MOI.set(model, attr, "off")
+    @test MOI.get(model, attr) == "off"
+    return
+end
+
+function test_algorithm()
+    model = MOA.Optimizer(HiGHS.Optimizer)
+    @test MOI.supports(model, MOA.Algorithm())
+    @test MOI.get(model, MOA.Algorithm()) == nothing
+    MOI.set(model, MOA.Algorithm(), MOA.Chalmet())
+    @test MOI.get(model, MOA.Algorithm()) == MOA.Chalmet()
+    return
+end
+
+function test_copy_to()
+    src = MOI.Utilities.UniversalFallback(MOI.Utilities.Model{Float64}())
+    MOI.set(src, MOA.Algorithm(), MOA.Chalmet())
+    x = MOI.add_variables(src, 2)
+    MOI.add_constraint.(src, x, MOI.GreaterThan(0.0))
+    f = MOI.Utilities.operate(vcat, Float64, 1.0 .* x...)
+    MOI.set(src, MOI.ObjectiveFunction{typeof(f)}(), f)
+    MOI.set(src, MOI.ObjectiveSense(), MOI.MAX_SENSE)
+    dest = MOA.Optimizer(HiGHS.Optimizer)
+    index_map = MOI.copy_to(dest, src)
+    MOI.set(dest, MOI.Silent(), true)
+    MOI.optimize!(dest)
+    @test MOI.get(dest, MOI.NumberOfVariables()) == 2
+    return
+end
+
+function test_scalarise()
+    x = MOI.VariableIndex.(1:2)
+    f = MOI.VectorOfVariables(x)
+    g = MOA._scalarise(f, [0.2, 0.8])
+    @test isapprox(g, 0.2 * x[1] + 0.8 * x[2])
+    return
+end
+
 end
 
 TestModel.run_tests()