[WIP] Change constructors

Author: abelsiqueira

solver-example.jl

@@ -10,15 +10,15 @@ nlp = ADNLPModel(
   [0.0],
   [0.0]
 )
-solver = DummySolver(Float16, 2, 1)
+solver = DummySolver(Float16, nlp.meta)
 output = solve!(solver, nlp, δ = 1e-2)
 
 #%%
 include("test/dummy_solver.jl")
-solver = DummySolver(2, 1)
+solver = DummySolver(Val(:nosolve), nlp)
 output = solve!(solver, nlp, δ = 1e-2)
 @allocated output = solve!(solver, nlp, δ = 1e-2)
-#%%
 
+#%%
 include("test/dummy_solver.jl")
 output, solver = DummySolver(nlp)

test/dummy_solver.jl

@@ -9,17 +9,26 @@ mutable struct DummySolver{T} <: AbstractSolver{T}
   ct :: Vector{T}
 end
 
-function DummySolver(::Type{T}, nvar :: Integer, ncon :: Integer = 0) where T
+function DummySolver(::Type{T}, meta :: AbstractNLPModelMeta) where T
+  nvar, ncon = meta.nvar, meta.ncon
   DummySolver{T}(true, zeros(T, nvar), zeros(T, nvar), zeros(T, nvar), zeros(T, nvar), zeros(T, ncon), zeros(T, ncon), zeros(T, ncon))
 end
 
+function DummySolver(::Type{T}, ::Val{:nosolve}, nlp :: AbstractNLPModel) where T
+  solver = DummySolver(T, nlp.meta)
+  return solver
+end
+
 function DummySolver(::Type{T}, nlp :: AbstractNLPModel) where T
-  solver = DummySolver(T, nlp.meta.nvar, nlp.meta.ncon)
+  solver = DummySolver(T, nlp.meta)
   output = solve!(solver, nlp)
   return output, solver
 end
 
-DummySolver(args...) = DummySolver(Float64, args...)
+DummySolver(meta :: AbstractNLPModelMeta) = DummySolver(Float64, meta :: AbstractNLPModelMeta)
+DummySolver(::Val{:nosolve}, nlp :: AbstractNLPModel) = DummySolver(Float64, Val(:nosolve), nlp :: AbstractNLPModel)
+DummySolver(nlp :: AbstractNLPModel) = DummySolver(Float64, nlp :: AbstractNLPModel)
+
 
 function solve!(solver::DummySolver{T}, nlp :: AbstractNLPModel;
   x :: AbstractVector{T} = T.(nlp.meta.x0),