basic text

Author: tmigot

test/Manifest.toml

@@ -1,2 +1,8 @@
 [deps]
+ADNLPModels = "54578032-b7ea-4c30-94aa-7cbd1cce6c9a"
+CaNNOLeS = "5a1c9e79-9c58-5ec0-afc4-3298fdea2875"
+FastClosures = "9aa1b823-49e4-5ca5-8b0f-3971ec8bab6a"
+LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+NLPModels = "a4795742-8479-5a88-8948-cc11e1c8c1a6"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+VariationalInequalitySolver = "ed570689-83cb-4447-bc21-43803b1f175a"

test/Project.toml

@@ -1,6 +1,12 @@
 using VariationalInequalitySolver
-using Test
+using ADNLPModels, NLPModels
+using Random, Test
+
+Random.seed!(1234)
 
 @testset "VariationalInequalitySolver.jl" begin
-    # Write your tests here.
-end
+  nls = ADNLSModel(x -> [x[1] - 1; 10 * (x[2] - x[1]^2)], [-1.2; 1.0], 2)
+  vi = NLSVIModel(nls)
+  xr = rand(2)
+  @test project(vi, xr) == xr
+end