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julia> using Convex, HiGHS julia> x = Variable(2, 2) Variable size: (2, 2) sign: real vexity: affine id: 909…059 julia> fix!(x, [1 0; 0 1]) Variable size: (2, 2) sign: real vexity: constant id: 909…059 value: [1 0; 0 1] julia> problem = satisfy([sum(x; dims = 1) <= 1]) Problem statistics problem is DCP : true number of variables : 1 (4 scalar elements) number of constraints : 1 (2 scalar elements) number of coefficients : 5 number of atoms : 4 Solution summary termination status : OPTIMIZE_NOT_CALLED primal status : NO_SOLUTION dual status : NO_SOLUTION Expression graph satisfy └─ nothing subject to └─ ≤ constraint (constant) └─ + (constant; real) ├─ * (constant; real) │ ├─ … │ └─ … └─ Convex.NegateAtom (constant; negative) └─ … julia> solve!(problem, HiGHS.Optimizer) ERROR: distance_to_set using the distance metric MathOptInterface.Utilities.ProjectionUpperBoundDistance() for set type MathOptInterface.Nonpositives has not been implemented yet. Stacktrace: [1] error(s::String) @ Base ./error.jl:35 [2] distance_to_set(d::MathOptInterface.Utilities.ProjectionUpperBoundDistance, ::Matrix{Float64}, set::MathOptInterface.Nonpositives) @ MathOptInterface.Utilities ~/.julia/packages/MathOptInterface/gBojA/src/Utilities/distance_to_set.jl:75
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