Fix various usages of MOI.delete

src/algorithms/Chalmet.jl

@@ -30,13 +30,14 @@ function _solve_constrained_model(
     sets = MOI.LessThan.(rhs .- 1)
     c = MOI.Utilities.normalize_and_add_constraint.(model.inner, f, sets)
     MOI.optimize!(model.inner)
-    MOI.delete.(model, c)
     status = MOI.get(model.inner, MOI.TerminationStatus())
     if !_is_scalar_status_optimal(status)
+        MOI.delete.(model, c)
         return status, nothing
     end
     variables = MOI.get(model.inner, MOI.ListOfVariableIndices())
     X, Y = _compute_point(model, variables, model.f)
+    MOI.delete.(model, c)
     return status, SolutionPoint(X, Y)
 end
 

src/algorithms/KirlikSayin.jl

@@ -161,9 +161,9 @@
             MOI.EqualTo(zₖ),
         )
         MOI.optimize!(model.inner)
-        MOI.delete.(model, ε_constraints)
-        MOI.delete(model, zₖ_constraint)
         if !_is_scalar_status_optimal(model)
+            MOI.delete.(model, ε_constraints)
+            MOI.delete(model, zₖ_constraint)
             _remove_rectangle(L, _Rectangle(_project(yI, k), uᵢ))
             continue
         end
@@ -175,6 +175,8 @@
             L = _update_list(L, Y_proj)
         end
         _remove_rectangle(L, _Rectangle(Y_proj, uᵢ))
+        MOI.delete.(model, ε_constraints)
+        MOI.delete(model, zₖ_constraint)
     end
     return status, solutions
 end

src/algorithms/TambyVanderpooten.jl

@@ -159,6 +159,7 @@
         end
         MOI.optimize!(model.inner)
         if !_is_scalar_status_optimal(model)
+            MOI.delete.(model, ε_constraints)
             return status, nothing
         end
         y_k = MOI.get(model.inner, MOI.ObjectiveValue())
@@ -171,6 +172,8 @@
         )
         MOI.optimize!(model.inner)
         if !_is_scalar_status_optimal(model)
+            MOI.delete.(model, ε_constraints)
+            MOI.delete(model, y_k_constraint)
             return status, nothing
         end
         X, Y = _compute_point(model, variables, model.f)

test/problems.jl

@@ -441,4 +441,35 @@ function test_problem_issue_105(model)
     return
 end
 
+function test_issue_122(model)
+    m, n = 3, 10
+    p1 = [5.0 1 10 8 3 5 3 3 7 2; 10 6 1 6 8 3 2 10 6 1; 2 3 1 6 9 7 1 5 4 8]
+    p2 = [4.0 6 4 3 1 6 8 2 9 7; 8 8 8 2 4 8 8 1 10 1; 8 7 8 5 9 2 2 7 10 10]
+    p3 = [4.0 3 6 4 7 5 9 5 8 4; 8 6 2 2 6 8 5 2 2 3; 2 8 10 3 5 7 5 9 5 5]
+    w = [5.0 9 3 5 10 5 7 10 7 8; 4 8 8 6 10 8 10 7 5 1; 10 7 5 8 8 2 8 1 10 3]
+    b = [34.0, 33.0, 31.0]
+    x_ = MOI.add_variables(model, m * n)
+    x = reshape(x_, m, n)
+    MOI.add_constraint.(model, x, MOI.ZeroOne())
+    f = MOI.Utilities.operate(
+        vcat,
+        Float64,
+        sum(p1 .* x),
+        sum(p2 .* x),
+        sum(p3 .* x),
+    )
+    MOI.set(model, MOI.ObjectiveSense(), MOI.MAX_SENSE)
+    MOI.set(model, MOI.ObjectiveFunction{typeof(f)}(), f)
+    for i in 1:m
+        f_i = sum(w[i, j] * x[i, j] for j in 1:n)
+        MOI.add_constraint(model, f_i, MOI.LessThan(b[i]))
+    end
+    for j in 1:n
+        MOI.add_constraint(model, sum(1.0 .* x[:, j]), MOI.EqualTo(1.0))
+    end
+    MOI.optimize!(model)
+    @test MOI.get(model, MOI.ResultCount()) == 42
+    return
+end
+
 end  # module Problems