No strong duality

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This example is interesting, because strong duality doesn't hold for the extensive form (see if you can show why!), but we still converge.

using SDDP, HiGHS, Test

function no_strong_duality()
    model = SDDP.PolicyGraph(
        SDDP.Graph(
            :root,
            [:node],
            [(:root => :node, 1.0), (:node => :node, 0.5)],
        );
        optimizer = HiGHS.Optimizer,
        lower_bound = 0.0,
    ) do sp, t
        @variable(sp, x, SDDP.State, initial_value = 1.0)
        @stageobjective(sp, x.out)
        @constraint(sp, x.in == x.out)
    end
    SDDP.train(model)
    @test SDDP.calculate_bound(model) ≈ 2.0 atol = 1e-5
    return
end

no_strong_duality()
-------------------------------------------------------------------
         SDDP.jl (c) Oscar Dowson and contributors, 2017-24
-------------------------------------------------------------------
problem
  nodes           : 1
  state variables : 1
  scenarios       : Inf
  existing cuts   : false
options
  solver          : serial mode
  risk measure    : SDDP.Expectation()
  sampling scheme : SDDP.InSampleMonteCarlo
subproblem structure
  VariableRef                             : [3, 3]
  AffExpr in MOI.EqualTo{Float64}         : [1, 1]
  VariableRef in MOI.GreaterThan{Float64} : [1, 1]
numerical stability report
  matrix range     [1e+00, 1e+00]
  objective range  [1e+00, 1e+00]
  bounds range     [0e+00, 0e+00]
  rhs range        [0e+00, 0e+00]
-------------------------------------------------------------------
 iteration    simulation      bound        time (s)     solves  pid
-------------------------------------------------------------------
         1   1.000000e+00  1.500000e+00  1.565933e-03         3   1
        40   4.000000e+00  2.000000e+00  4.431796e-02       578   1
-------------------------------------------------------------------
status         : simulation_stopping
total time (s) : 4.431796e-02
total solves   : 578
best bound     :  2.000000e+00
simulation ci  :  1.950000e+00 ± 5.568095e-01
numeric issues : 0
-------------------------------------------------------------------