minor refactor

Project.toml

@@ -1,7 +1,7 @@
 name = "NonconvexMultistart"
 uuid = "11b12826-7e46-4acf-9706-be0a67f2add7"
 authors = ["Mohamed Tarek <mohamed82008@gmail.com> and contributors"]
-version = "0.1.3"
+version = "0.1.4"
 
 [deps]
 ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
@@ -14,12 +14,12 @@ Setfield = "efcf1570-3423-57d1-acb7-fd33fddbac46"
 Sobol = "ed01d8cd-4d21-5b2a-85b4-cc3bdc58bad4"
 
 [compat]
-ChainRulesCore = "0.10, 1"
+ChainRulesCore = "1"
 Hyperopt = "0.4"
 NonconvexCore = "1"
-Parameters = "0.12"
+Parameters = "0.12, 0.13"
 Reexport = "1"
-Setfield = "0.7, 0.8, 1"
+Setfield = "1"
 Sobol = "1"
 julia = "1"
 

src/NonconvexMultistart.jl

@@ -7,7 +7,7 @@ import Hyperopt
 using Reexport, Parameters, Setfield, ChainRulesCore, Sobol
 @reexport using NonconvexCore
 using NonconvexCore:
-    reset!, isfeasible, @params, VecModel, AbstractOptimizer, AbstractResult
+    reset!, isfeasible, VecModel, AbstractOptimizer, AbstractResult
 import NonconvexCore: optimize!, Workspace
 
 include("hyperopt.jl")

src/hyperopt.jl

@@ -1,5 +1,5 @@
-@params struct HyperoptAlg <: AbstractOptimizer
-    sub_alg::AbstractOptimizer
+struct HyperoptAlg{S <: AbstractOptimizer} <: AbstractOptimizer
+    sub_alg::S
 end
 
 """
@@ -15,14 +15,14 @@ end
 - `ctol`: infeasibility tolerance for accepting a solution as feasible
 - `keep_all`: if true, all the solutions of the sub-problems will be saved
 """
-@params struct HyperoptOptions
-    sub_options::Any
-    lb::Any
-    ub::Any
-    searchspace_size::Integer
-    iters::Integer
-    sampler::Hyperopt.Sampler
-    ctol::Any
+struct HyperoptOptions{S1, L, U, S2 <: Hyperopt.Sampler, C}
+    sub_options::S1
+    lb::L
+    ub::U
+    searchspace_size::Int
+    iters::Int
+    sampler::S2
+    ctol::C
     keep_all::Bool
 end
 function HyperoptOptions(;
@@ -47,10 +47,10 @@ function HyperoptOptions(;
     )
 end
 
-@params struct HyperoptWorkspace <: Workspace
-    sub_workspace::Workspace
-    x0::AbstractVector
-    options::HyperoptOptions
+struct HyperoptWorkspace{S <: Workspace, X <: AbstractVector, O <: HyperoptOptions} <: Workspace
+    sub_workspace::S
+    x0::X
+    options::O
 end
 
 function Workspace(
@@ -78,11 +78,11 @@ When using multiple x0 in [`optimize`](@ref), return this result, including foll
 - `results`: all the search results.
 - `optimal_ind`: the index of the optimal solution in `results`.
 """
-@params struct HyperoptResult <: AbstractResult
-    minimum::Any
-    minimizer::Any
-    results::Any
-    optimal_ind::Any
+struct HyperoptResult{M1, M2, R, O} <: AbstractResult
+    minimum::M1
+    minimizer::M2
+    results::R
+    optimal_ind::O
 end
 
 function optimize!(workspace::HyperoptWorkspace)