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Add MathOptLazy.NumberOfConstraintsActive #37

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Merged
odow merged 2 commits into from
Sep 25, 2026
Merged

Add MathOptLazy.NumberOfConstraintsActive #37

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f37df87
Add MathOptLazy.NumberOfConstraintsActive
odow Sep 25, 2026
e83a2b1
Update MathOptLazy.jl
odow Sep 25, 2026
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24 changes: 24 additions & 0 deletions src/MathOptLazy.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -631,6 +631,30 @@ MOI.get(model::Optimizer, ::MOI.SimplexIterations) = model.simplex_iterations

MOI.get(model::Optimizer, ::MOI.SolveTimeSec) = model.solve_time_sec

### MathOptLazy.NumberOfConstraintsActive

"""
NumberOfConstraintsActive{F,LazyScalarSet{S}}() where {
F<:MOI.AbstractScalarFunction,
S<:MOI.AbstractScalarSet,
}

Return a count of the number of constraints that are active in the subproblem.
"""
struct NumberOfConstraintsActive{
F<:MOI.AbstractScalarFunction,
S<:LazyScalarSet{<:MOI.AbstractScalarSet},
} <: MOI.AbstractModelAttribute end

MOI.is_set_by_optimize(::NumberOfConstraintsActive) = true

function MOI.get(
model::Optimizer,
::NumberOfConstraintsActive{F,LazyScalarSet{S}},
) where {F<:MOI.AbstractScalarFunction,S<:MOI.AbstractScalarSet}
return count(==(_kLAZY_CONSTRAINT_ACTIVE), _data(model, F, S).status)
end

### MOI.optimize!

function _try_get(model::Optimizer, attr::MOI.AbstractModelAttribute, default)
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8 changes: 8 additions & 0 deletions test/runtests.jl
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Expand Up @@ -43,6 +43,9 @@ function test_jump_cached_knapsack()
@test termination_status(model) == OPTIMAL
@test primal_status(model) == FEASIBLE_POINT
@test all(<=(1 + 1e-6), value(x))
F = MOI.ScalarAffineFunction{Float64}
S = MathOptLazy.LazyScalarSet{MOI.LessThan{Float64}}
@test get_attribute(model, MathOptLazy.NumberOfConstraintsActive{F,S}()) > 0
return
end

Expand All @@ -54,10 +57,15 @@ function test_jump_direct_knapsack()
@constraint(model, [i in 1:N], x[i] <= 1, MathOptLazy.Lazy())
@constraint(model, sum(abs(cos(i)) * x[i] for i in 1:N) <= 0.1 * N)
@objective(model, Max, sum(abs(sin(i)) * x[i] for i in 1:N))
F = MOI.ScalarAffineFunction{Float64}
S = MathOptLazy.LazyScalarSet{MOI.LessThan{Float64}}
attr = MathOptLazy.NumberOfConstraintsActive{F,S}()
@test MOI.get(backend(model), attr) == 0
optimize!(model)
@test termination_status(model) == OPTIMAL
@test primal_status(model) == FEASIBLE_POINT
@test all(<=(1 + 1e-6), value(x))
@test get_attribute(model, attr) > 0
return
end

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