Skip to content

WIP: redo tests #182

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 5 commits into from
Jun 16, 2017
Merged

WIP: redo tests #182

Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
fb85965
tests
odow Jun 15, 2017
e976896
more test
odow Jun 16, 2017
43eb3e5
MOre testing
odow Jun 16, 2017
e88279b
more tests
odow Jun 16, 2017
e3db6b3
More tests
odow Jun 16, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
125 changes: 83 additions & 42 deletions test/linproginterface.jl
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,68 +2,109 @@ using Base.Test
using MathProgBase
using MathProgBase.SolverInterface

const MPB = MathProgBase

function test_result(m, v, c, termstatus, primalstatus, dualstatus, objval, varprim, vupdual, vlodual, conprim, condual)
@test MPB.cangetattribute(m, MPB.TerminationStatus())
@test MPB.getattribute(m, MPB.TerminationStatus()) == termstatus

@test MPB.cangetattribute(m, MPB.PrimalStatus())
@test MPB.getattribute(m, MPB.PrimalStatus()) == primalstatus

@test MPB.cangetattribute(m, MPB.DualStatus())
# maybe solver doesn't return dual?
@test MPB.getattribute(m, MPB.DualStatus()) == dualstatus

@test MPB.cangetattribute(m, MPB.ObjectiveValue())
@test isapprox(MPB.getattribute(m, MPB.ObjectiveValue()), objval, atol=eps)

@test MPB.cangetattribute(m, MPB.VariablePrimal(), v)
@test isapprox(MPB.getattribute(m, MPB.VariablePrimal(), v), varprim, atol=eps)

@test MPB.cangetattribute(m, MPB.VariableUpperBoundDual(), v)
@test isapprox(MPB.getattribute(m, MPB.VariableUpperBoundDual(), v), vupdual, atol=eps)

@test MPB.cangetattribute(m, MPB.VariableLowerBoundDual(), v)
@test isapprox(MPB.getattribute(m, MPB.VariableLowerBoundDual(), v), vlodual, atol=eps)

@test MPB.cangetattribute(m, MPB.ConstraintPrimal(), c)
@test isapprox(MPB.getattribute(m, MPB.ConstraintPrimal(), c), conprim, atol=eps)

@test MPB.cangetattribute(m, MPB.ConstraintDual(), c)
@test isapprox(MPB.getattribute(m, MPB.ConstraintDual(), c), condual, atol=eps)
end

"""
function linprogsolvertest(solver::AbstractMathProgSolver, eps = Base.rtoldefault(Float64))
@testset "Testing LP interface with $solver" begin
@testset "Basic interface" begin
m = LinearQuadraticModel(solver)
# Min -x Min -x
# s.t. x + y <= 1 or s.t. x + y - 1 ∈ NonPositive
# x, y >= 0 x, y >= 0
m = MPB.Model(solver)

# Min -x
# s.t. x + y <= 1
# x, y >= 0
loadproblem!(m, [1. 1.], [0.,0.], [Inf, Inf], [-1.,0.], [-Inf],[1.], :Min)
@test numvar(m) == 2
@test numconstr(m) == 1
@test getvarLB(m) == [0.,0.]
@test getvarUB(m)[1] >= 1e20
@test getvarUB(m)[2] >= 1e20
@test getconstrLB(m)[1] < -1e30
@test getconstrUB(m)[1] == 1.0
@test getobj(m) == [-1.,0.]
@test getsense(m) == :Min
v = MPB.addvariables!(m, 2)

optimize!(m)
@test status(m) == :Optimal
@test isapprox(getobjval(m), -1, atol=eps)
@test isapprox(norm(getsolution(m) - [1.0, 0.0]), 0.0, atol=eps)
@test isapprox(getconstrsolution(m)[1], 1.0, atol=eps)
@test isapprox(getconstrduals(m)[1], -1.0, atol=eps)
@test isapprox(norm(getreducedcosts(m) - [0.0, 1.0]), 0.0, atol=eps)
@test MPB.cansetattribute(m, MPB.VariableLowerBound())
MPB.setattribute!(m, MPB.VariableLowerBound(), v, [0, 0])

setsense!(m, :Max)
# max x
setobj!(m, [1.0,0.0])
optimize!(m)
@test MPB.cangetattribute(m, MPB.VariableLowerBound())
@test isapprox(MPB.getattribute(m, MPB.VariableLowerBound(), v), [0.0, 0.0], atol=eps)

@test status(m) == :Optimal
@test isapprox(getobjval(m), 1, atol=eps)
@test isapprox(norm(getsolution(m) - [1.0, 0.0]), 0.0, atol=eps)
@test isapprox(getconstrsolution(m)[1], 1.0, atol=eps)
@test isapprox(getconstrduals(m)[1], 1.0, atol=eps)
@test isapprox(norm(getreducedcosts(m) - [0.0, -1.0]), 0.0, atol=eps)
@test MPB.cangetattribute(m, MPB.VariableUpperBound())
@test all(MPB.getattribute(m, MPB.VariableUpperBound(), v) .>= 1e20)

@test MPB.getattribute(m, SupportsAffineConstraint{MPB.NonPositive}())
c = MPB.addconstraint!(m, -1, v, [1, 1], MPB.NonPositive(1))

@test MPB.getattribute(m, MPB.VariableCount()) == 2
@test MPB.getattribute(m, MPB.ConstraintCount()) == 1

MPB.setattribute!(m, MPB.Sense(), MPB.MinSense)

MPB.setobjective!(m, 1, 0.0, v, [-1.0, 0.0])

# TODO: query objective
# (b, a_varref, a_coef, qi, qj, qc) = MPB.getobjective(m)
# @test isapprox(b, 0.0, atol=eps)
# @test a_varref == v
# @test isapprox(a_coef, [-1.0, 0.0], atol=eps)

MPB.optimize!(m)

test_result(m, v, c, MPB.Success, MPB.FeasiblePoint, MPB.FeasiblePoint, -1, [1.0, 0.0], [0.0, 0.0], [0.0, 1.0], [1.0], [-1.0])

# change objective to Max +x
@test MPB.cansetattribute(m, MPB.Sense())
MPB.setattribute!(m, MPB.Sense(), MPB.MaxSense)
MPB.modifyobjective!(m, 1, v[1], 1.0)

MPB.optimize!(m)

test_result(m, v, c, MPB.Success, MPB.FeasiblePoint, MPB.FeasiblePoint, 1, [1.0, 0.0], [0.0, -1.0], [0.0, 0.0], [1.0], [1.0])

# add new variable to get:
# max x + 2z
# s.t. x + y + z <= 1
# x,y,z >= 0
addvar!(m, [1], [1.0], 0, Inf, 2.0)
z = MPB.addvariable!(m, c, [1])
MPB.setattribute!(m, MPB.VariableLowerBound(), z, 0)
MPB.modifyobjective!(m, z, 2)

@test numvar(m) == 3
@test numconstr(m) == 1
@test MPB.getattribute(m, MPB.VariableCount()) == 3
@test MPB.getattribute(m, MPB.ConstraintCount()) == 1

optimize!(m)

@test status(m) == :Optimal
@test isapprox(getobjval(m), 2, atol=eps)
@test isapprox(norm(getsolution(m) - [0.0, 0.0, 1.0]), 0.0, atol=eps)
@test isapprox(getconstrsolution(m)[1], 1.0, atol=eps)
@test isapprox(getconstrduals(m)[1], 2.0, atol=eps)
@test isapprox(norm(getreducedcosts(m) - [-1.0, -2.0, 0.0]), 0.0, atol=eps)
test_result(m, v, c, MPB.Success, MPB.FeasiblePoint, MPB.FeasiblePoint, 2, [0.0, 0.0, 1.0], [-1.0, -2.0, 0.0], [0.0, 0.0, 0.0], [1.0], [2.0])

MPB.setattribute!(m, MPB.VariableLowerBound(), v[1], -1)

setvarLB!(m, [-1.0,0.0,0.0])
optimize!(m)

end
end
end
"""
@test status(m) == :Optimal
@test isapprox(getobjval(m), 3, atol=eps)

Expand Down