Add a unit test for the support of VectorNonlinearFunction

Author: amontoison

test/nlp_problems/nf.jl

@@ -0,0 +1,10 @@
+function nf()
+  f(x::Vector{VariableRef}) = sqrt.(x)
+  g(x::Vector{VariableRef}) = x.^3
+  h(x::Vector{VariableRef}) = sum(x.^4)
+  nlp = Model()
+  @variable(nlp, x[1:2])
+  @constraint(nlp, f(x) .- g(x) in MOI.Nonnegatives(2))
+  @objective(nlp, Max, h(x))
+  return nlp
+end

test/runtests.jl

@@ -5,7 +5,7 @@ using Test, Printf
 nlp_problems = setdiff(NLPModelsTest.nlp_problems, ["MGH01Feas"])
 nls_problems = NLPModelsTest.nls_problems
 
-extra_nlp_problems = ["nohesspb", "hs61", "hs100", "hs219", "quadcon", "operatorspb"]
+extra_nlp_problems = ["nohesspb", "hs61", "hs100", "hs219", "quadcon", "operatorspb", "nf"]
 extra_nls_problems = ["nlsnohesspb", "HS30", "HS43", "MGH07", "nlsqc"]
 
 for problem in lowercase.(nlp_problems ∪ extra_nlp_problems)