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Test with Alpine #195

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cc2add0
add Apline
joaquimg Feb 27, 2023
31de591
only test with Alpine
joaquimg Feb 27, 2023
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7 changes: 6 additions & 1 deletion test/Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,12 @@ QuadraticToBinary = "014a38d5-7acb-4e20-b6c0-4fe5c2344fd1"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"

Alpine = "07493b3f-dabb-5b16-a503-4139292d7dd4"
HiGHS = "87dc4568-4c63-4d18-b0c0-bb2238e4078b"

[compat]
Ipopt = "=1.0.2"
MibS_jll = "=1.1.3"
QuadraticToBinary = "=0.4.0"
QuadraticToBinary = "=0.4.0"

Alpine = "=0.5.3"
8 changes: 4 additions & 4 deletions test/jump.jl
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Expand Up @@ -2888,14 +2888,14 @@ By: LukasBarner
Siddiqui S, Gabriel SA (2013). An sos1-based approach for solving mpecs with a natural gas market applica-
tion. Networks and Spatial Economics 13(2):205–227.
"""
function jump_qp_lower_min(config = Config())
function jump_qp_lower_min(optimizer, config = Config())
F = [1,2]
c = Dict(1=>1, 2=>1)
C = 1
a = 13
b = 1

model = BilevelModel(Ipopt.Optimizer, mode = BilevelJuMP.ProductMode())
model = BilevelModel(()->optimizer, mode = BilevelJuMP.ProductMode())

@variable(Lower(model), q[F] >= 0)
@variable(Upper(model), Q >= 0)
Expand All @@ -2909,14 +2909,14 @@ function jump_qp_lower_min(config = Config())
@test isapprox(value.(Q), 6; atol=1e-5)
@test isapprox(value.(q).data, [2,2]; atol=1e-5)
end
function jump_qp_lower_max(config = Config())
function jump_qp_lower_max(optimizer, config = Config())
F = [1,2]
c = Dict(1=>1, 2=>1)
C = 1
a = 13
b = 1

model = BilevelModel(Ipopt.Optimizer, mode = BilevelJuMP.ProductMode())
model = BilevelModel(()->optimizer, mode = BilevelJuMP.ProductMode())

@variable(Lower(model), q[F] >= 0)
@variable(Upper(model), Q >= 0)
Expand Down
37 changes: 18 additions & 19 deletions test/runtests.jl
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Expand Up @@ -51,16 +51,16 @@ solvers_fa = OptModeType[]
solvers_fa2 = OptModeType[] # explicit big-M at 100
solvers_complements = OptModeType[]

include("solvers/ipopt.jl")
# include("solvers/ipopt.jl")
# include("solvers/scip.jl")
# include("solvers/cbc.jl")
if Sys.iswindows() && (
get(ENV, "SECRET_XPRS_WIN_8110", "") != "" ||
get(ENV, "XPRESSDIR", "") != ""
)
@info "Running Xpress in Tests"
include("solvers/xpress.jl")
end
# if Sys.iswindows() && (
# get(ENV, "SECRET_XPRS_WIN_8110", "") != "" ||
# get(ENV, "XPRESSDIR", "") != ""
# )
# @info "Running Xpress in Tests"
# include("solvers/xpress.jl")
# end
# DONE
# include("solvers/gurobi.jl")
# include("solvers/knitro.jl")
Expand All @@ -69,7 +69,7 @@ end
# include("solvers/bonmin.jl")
# include("solvers/baron.jl")
# TODO
# include("solvers/alpine.jl") # require NLP from JuMP
include("solvers/alpine.jl") # require NLP from JuMP
# include("solvers/pavito.jl") # require NLP from JuMP
# include("solvers/juniper.jl") # require NLP from JuMP
# include("solvers/path.jl") # require LCP method
Expand All @@ -81,14 +81,18 @@ include("jump_nlp.jl")

@testset "BilevelJuMP tests" begin
@testset "MibS" begin
include("mibs.jl")
# include("mibs.jl")
end

@testset "nlp" begin
jump_nlp_01(IPO_OPT; mode = BilevelJuMP.ProductMode(1e-8))
jump_nlp_02(IPO_OPT; mode = BilevelJuMP.ProductMode(1e-8))
jump_nlp_03(IPO_OPT; mode = BilevelJuMP.ProductMode(1e-8))
jump_nlp_04(IPO_OPT; mode = BilevelJuMP.ProductMode(1e-8))
# jump_nlp_01(IPO_OPT; mode = BilevelJuMP.ProductMode(1e-8))
# jump_nlp_02(IPO_OPT; mode = BilevelJuMP.ProductMode(1e-8))
# jump_nlp_03(IPO_OPT; mode = BilevelJuMP.ProductMode(1e-8))
# jump_nlp_04(IPO_OPT; mode = BilevelJuMP.ProductMode(1e-8))
end
@testset "Lower QP" begin
# jump_qp_lower_min(IPO_OPT)
# jump_qp_lower_max(IPO_OPT)
end

@testset "Unit" begin
Expand Down Expand Up @@ -372,11 +376,6 @@ include("jump_nlp.jl")
end
end

@testset "Lower QP" begin
jump_qp_lower_min()
jump_qp_lower_max()
end

@testset "Fruits" begin
for solver in solvers_fa2
jump_fruits(solver.opt, solver.mode, CONFIG_4, 0.05)
Expand Down
11 changes: 6 additions & 5 deletions test/solvers/alpine.jl
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Original file line number Diff line number Diff line change
@@ -1,19 +1,20 @@
# name = "Alpine"
# Alpine = "07493b3f-dabb-5b16-a503-4139292d7dd4"

using Alpine, Ipopt, Cbc
using Alpine, Ipopt, HiGHS

const ALP_IPOPT = optimizer_with_attributes(Ipopt.Optimizer, MOI.Silent() => true, "sb" => "yes")
const ALP_CBC = optimizer_with_attributes(Cbc.Optimizer, MOI.Silent() => true)
const ALP_HIGHS = optimizer_with_attributes(HiGHS.Optimizer, MOI.Silent() => true)
# HiGHS

# ALP_OPT = optimizer_with_attributes(Alpine.Optimizer, "nlp_solver" => ALP_IPOPT,
# "mip_solver" => ALP_CBC,
# "mip_solver" => ALP_HIGHS,
# "loglevel" => 100)
# ALP = ALP_OPT

ALP_OPT = Alpine.Optimizer()
MOI.set(ALP_OPT, MOI.RawParameter("nlp_solver"), ALP_IPOPT)
MOI.set(ALP_OPT, MOI.RawParameter("mip_solver"), ALP_CBC)
MOI.set(ALP_OPT, MOI.RawOptimizerAttribute("nlp_solver"), ALP_IPOPT)
MOI.set(ALP_OPT, MOI.RawOptimizerAttribute("mip_solver"), ALP_HIGHS)
ALP = MOI.Bridges.Constraint.SOCtoNonConvexQuad{Float64}(ALP_OPT)

push!(solvers_nlp_lowtol, (opt = ALP, mode = BilevelJuMP.ProductMode(1e-5)))
Expand Down