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Merged
merged 2 commits into from
Sep 15, 2025
Merged

Create solver_missing_error_messages.jl #1013

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7196833
Create solver_missing_error_messages.jl
ChrisRackauckas Sep 12, 2025
1a4d194
Update runtests.jl
ChrisRackauckas Sep 12, 2025
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1 change: 1 addition & 0 deletions lib/OptimizationBase/test/runtests.jl
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Expand Up @@ -5,4 +5,5 @@ using Test
include("adtests.jl")
include("cvxtest.jl")
include("matrixvalued.jl")
include("solver_missing_error_messages.jl")
end
26 changes: 26 additions & 0 deletions lib/OptimizationBase/test/solver_missing_error_messages.jl
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@@ -0,0 +1,26 @@
using OptimizationBase, Test
prob = OptimizationProblem((x, p) -> sum(x), zeros(2))
@test_throws OptimizationBase.OptimizerMissingError solve(prob, nothing)

struct OptAlg end

SciMLBase.allowscallback(::OptAlg) = false
@test_throws OptimizationBase.IncompatibleOptimizerError solve(prob, OptAlg(),
callback = (args...) -> false)

SciMLBase.requiresbounds(::OptAlg) = true
@test_throws OptimizationBase.IncompatibleOptimizerError solve(prob, OptAlg())
SciMLBase.requiresbounds(::OptAlg) = false

prob = OptimizationProblem((x, p) -> sum(x), zeros(2), lb = [-1.0, -1.0], ub = [1.0, 1.0])
@test_throws OptimizationBase.IncompatibleOptimizerError solve(prob, OptAlg()) #by default allowsbounds is false

cons = (res, x, p) -> (res .= [x[1]^2 + x[2]^2])
optf = OptimizationFunction((x, p) -> sum(x), SciMLBase.NoAD(), cons = cons)
prob = OptimizationProblem(optf, zeros(2))
@test_throws OptimizationBase.IncompatibleOptimizerError solve(prob, OptAlg()) #by default allowsconstraints is false

SciMLBase.requiresconstraints(::OptAlg) = true
optf = OptimizationFunction((x, p) -> sum(x), SciMLBase.NoAD())
prob = OptimizationProblem(optf, zeros(2))
@test_throws OptimizationBase.IncompatibleOptimizerError solve(prob, OptAlg())
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