Move dummy_solver to src folder (#54)

* Move `dummy_solver` to src folder

Author: tmigot

Project.toml

@@ -3,6 +3,7 @@ uuid = "ff4d7338-4cf1-434d-91df-b86cb86fb843"
 version = "0.3.2"
 
 [deps]
+LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 NLPModels = "a4795742-8479-5a88-8948-cc11e1c8c1a6"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 

src/SolverCore.jl

@@ -1,13 +1,14 @@
 module SolverCore
 
 # stdlib
-using Printf
+using LinearAlgebra, Printf
 
 # our packages
 using NLPModels
 
 include("logger.jl")
 include("stats.jl")
 include("solver.jl")
+include("dummy_solver.jl")
 
 end

test/dummy_solver.jl src/dummy_solver.jltest/dummy_solver.jl renamed to src/dummy_solver.jl

@@ -7,8 +7,6 @@ using ADNLPModels, NLPModels
 # stdlib
 using LinearAlgebra, Logging, Test
 
-include("dummy_solver.jl")
-
 include("test_logging.jl")
 include("test_stats.jl")
 include("test_callback.jl")

test/runtests.jl

@@ -6,6 +6,6 @@
       set_status!(stats, :user)
     end
   end
-  stats = dummy_solver(nlp, max_eval = 20, callback = callback)
+  stats = SolverCore.dummy_solver(nlp, max_eval = 20, callback = callback)
   @test stats.iter == 3
 end

test/test_callback.jl

@@ -12,7 +12,7 @@ function test_logging()
 
   with_logger(ConsoleLogger()) do
     @info "Testing dummy solver with logger"
-    dummy_solver(nlps[1], max_eval = 20)
+    SolverCore.dummy_solver(nlps[1], max_eval = 20)
     reset!.(nlps)
   end
 end

test/test_logging.jl

@@ -1,6 +1,6 @@
 @testset "test restart" begin
   nlp = ADNLPModel(x -> dot(x, x) / 2, ones(2), x -> [sum(x .^ 3) - 1], [0.0], [0.0])
-  solver = DummySolver(nlp)
+  solver = SolverCore.DummySolver(nlp)
   stats = GenericExecutionStats(nlp)
   solve!(solver, nlp, stats, verbose = false)
   @test stats.status == :first_order

test/test_restart.jl

@@ -66,7 +66,7 @@ function test_stats()
   @testset "Testing Dummy Solver with multi-precision" begin
     for T in (Float16, Float32, Float64, BigFloat)
       nlp = ADNLPModel(x -> dot(x, x), ones(T, 2))
-      solver = DummySolver(nlp)
+      solver = SolverCore.DummySolver(nlp)
 
       stats = with_logger(NullLogger()) do
         solve!(solver, nlp)
@@ -80,7 +80,7 @@ function test_stats()
       @test eltype(stats.multipliers_U) == T
 
       nlp = ADNLPModel(x -> dot(x, x), ones(T, 2), x -> [sum(x) - 1], T[0], T[0])
-      solver = DummySolver(nlp)
+      solver = SolverCore.DummySolver(nlp)
       stats = GenericExecutionStats(nlp)
 
       with_logger(NullLogger()) do