Add cutest_finalize as a finalizer (#92)

src/CUTEst.jl

@@ -12,7 +12,7 @@ import Base.Libdl.dlsym
 # Only one problem can be interfaced at any given time.
 global cutest_instances = 0
 
-export CUTEstModel, sifdecoder, cutest_finalize
+export CUTEstModel, sifdecoder
 
 type CUTEstModel <: AbstractNLPModel
   meta    :: NLPModelMeta;
@@ -181,6 +181,8 @@ function CUTEstModel(name :: String, args...; decode :: Bool=true, verbose ::Boo
   nlp = CUTEstModel(meta, Counters())
 
   cutest_instances += 1;
+  finalizer(nlp, cutest_finalize)
+
   return nlp
 end
 

test/consistency.jl

@@ -12,5 +12,5 @@ for problem in problems
   @printf("Checking problem %-15s%12s\t", problem_s, "")
   consistent_nlps(nlps)
 
-  cutest_finalize(nlp_cutest)
+  finalize(nlp_cutest)
 end

test/runtests.jl

@@ -19,7 +19,7 @@ for problem in problems
   test_coreinterface(nlp, adnlp)
 
   println("Finalizing")
-  cutest_finalize(nlp)
+  finalize(nlp)
 end
 
 include("consistency.jl")
@@ -56,17 +56,17 @@ for p in problems
   else
     println("$p: specialized interface: f(x₀) = $(ufn(nvar, x0))")
   end
-  cutest_finalize(nlp)
+  finalize(nlp)
 end
 
 # test arguments passed to decoder
 nlp = CUTEstModel("DIXMAANJ", "-param", "M=5")
 @assert nlp.meta.nvar == 15
-cutest_finalize(nlp)
+finalize(nlp)
 
 nlp = CUTEstModel("DIXMAANJ", "-param", "M=30")
 @assert nlp.meta.nvar == 90
-cutest_finalize(nlp)
+finalize(nlp)
 
 # clean up the test directory
 here = dirname(@__FILE__)

test/test_mpb.jl

@@ -11,4 +11,4 @@ model = NLPtoMPB(nlp, IpoptSolver())
 @assert isa(model, Ipopt.IpoptMathProgModel)
 MathProgBase.optimize!(model)
 @assert MathProgBase.getobjval(model) ≈ 0.0
-cutest_finalize(nlp)
+finalize(nlp)