Create solver_missing_error_messages.jl

Author: ChrisRackauckas

lib/OptimizationBase/test/solver_missing_error_messages.jl

@@ -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())