MOI wrapper

.gitignore

@@ -2,3 +2,4 @@
 
 docs/build
 
+Manifest.toml

.travis.yml

@@ -1,23 +1,22 @@
 language: julia
+codecov: true
 os:
   - linux
   - osx
 julia:
   - 1.0
-  - 1.4
-script:
-  - julia --project -e 'import Pkg; Pkg.build(); Pkg.instantiate()'
-  - julia --project -e 'import Pkg; Pkg.test(coverage=true);'
-after_success:
-  - julia -e 'import Pkg; Pkg.add("Coverage"); using Coverage; Codecov.submit(process_folder())'
+  - 1
+before_script:
+ - julia -e 'using Pkg; Pkg.add(PackageSpec(name="Pavito", rev="master"))' # TODO remove when Pavito#master is released.
 jobs:
   allow_failures:
     - julia: nightly
   include:
     - stage: "Documentation"
-      julia: 1.4
+      julia: 1
       os: linux
       script:
+        - julia -e 'using Pkg; Pkg.rm("Pavito")' # TODO Pkg seems to get into troubles because of the `before_script`. Remove when Pavito#master is released.
         - julia --project=docs/ -e 'using Pkg; Pkg.instantiate(); Pkg.develop(PackageSpec(path=pwd()))'
         - julia --project=docs/ docs/make.jl
       after_success: skip

Project.toml

@@ -7,28 +7,27 @@ version = "0.1.16"
 Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
 JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
-MathProgBase = "fdba3010-5040-5b88-9595-932c9decdf73"
+MathOptInterface = "b8f27783-ece8-5eb3-8dc8-9495eed66fee"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
 [compat]
-Cbc = "0.6.7"
-GLPKMathProgInterface = ">=0.4.3"
-Ipopt = ">= 0.4"
-JuMP = "< 0.19"
-MathProgBase = ">=0.6.4"
-Pavito = "^0.1"
+Cbc = "0.7"
+Ipopt = "0.6"
+JuMP = "0.21"
+MathOptInterface = "0.9.14"
 julia = "^1"
 
 [extras]
 Cbc = "9961bab8-2fa3-5c5a-9d89-47fab24efd76"
-GLPKMathProgInterface = "3c7084bd-78ad-589a-b5bb-dbd673274bea"
+GLPK = "60bf3e95-4087-53dc-ae20-288a0d20c6a6"
 Ipopt = "b6b21f68-93f8-5de0-b562-5493be1d77c9"
+Juniper = "2ddba703-00a4-53a7-87a5-e8b9971dde84"
 Pavito = "cd433a01-47d1-575d-afb7-6db927ee8d8f"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["Cbc", "GLPKMathProgInterface", "Ipopt", "Pavito", "Pkg", "Test"]
+test = ["Cbc", "GLPK", "Ipopt", "Juniper", "Pavito", "Pkg", "Test"]

docs/src/choosingsolver.md

@@ -25,5 +25,5 @@ To use different sub-solvers, here is an example:
     using Gurobi, Ipopt
     m = Model()
     # Here goes the building of your model...
-    setsolver(m, AlpineSolver(nlp_solver=IpoptSolver(print_level=0), mip_solver=GurobiSolver(OutputFlag=0)))
+    setsolver(m, Alpine.Optimizer(nlp_solver=IpoptSolver(print_level=0), mip_solver=GurobiSolver(OutputFlag=0)))
 ```

src/Alpine.jl

@@ -5,8 +5,6 @@ module Alpine
 const ALPINE_DEBUG = false
 
 using JuMP
-using MathProgBase
-
 
 using LinearAlgebra
 using Random
@@ -18,8 +16,9 @@ using SparseArrays
 include("const.jl")
 
 # Engine for High-level Algorithmic Control and User-interface
+include("matrix_opt_interface.jl")
+include("moi_function2expr.jl")
 include("solver.jl")
-include("mpb2moi.jl") # Transition file
 
 # Engine for expression handling
 include("nlexpr.jl")