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https://github.com/kalmarek/PropertyT.jl.git
synced 2024-11-19 07:20:28 +01:00
use ProgressMeter instead of poormans progressbar
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@ -8,6 +8,7 @@ Groups = "5d8bd718-bd84-11e8-3b40-ad14f4a32557"
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IntervalArithmetic = "d1acc4aa-44c8-5952-acd4-ba5d80a2a253"
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JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
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LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
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ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
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SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
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StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
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SymbolicWedderburn = "858aa9a9-4c7c-4c62-b466-2421203962a2"
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@ -17,6 +18,7 @@ COSMO = "0.8"
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Groups = "0.7"
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IntervalArithmetic = "0.20"
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JuMP = "1.3"
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ProgressMeter = "1.7"
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SCS = "1.1.0"
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StaticArrays = "1"
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SymbolicWedderburn = "0.3.1"
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@ -182,13 +182,17 @@ function __fast_recursive_dot!(
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return res
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end
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import ProgressMeter
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__show_itrs(n, total) = () -> [(Symbol("constraint"), "$n/$total")]
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function sos_problem_primal(
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elt::StarAlgebras.AlgebraElement,
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orderunit::StarAlgebras.AlgebraElement,
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wedderburn::WedderburnDecomposition;
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upper_bound=Inf,
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augmented=iszero(StarAlgebras.aug(elt)) && iszero(StarAlgebras.aug(orderunit)),
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check_orthogonality=true
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check_orthogonality=true,
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show_progress=false
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)
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@assert parent(elt) === parent(orderunit)
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@ -222,7 +226,7 @@ function sos_problem_primal(
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begin # preallocating
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T = eltype(wedderburn)
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M = spzeros.(T, size.(P))
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Ms = spzeros.(T, size.(P))
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M_orb = zeros(T, size(parent(elt).mstructure)...)
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end
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@ -232,36 +236,40 @@ function sos_problem_primal(
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# defining constraints based on the multiplicative structure
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cnstrs = constraints(parent(elt), augmented=augmented, twisted=true)
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@info "Adding $(length(invariant_vectors(wedderburn))) constraints"
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ds = SymbolicWedderburn.direct_summands(wedderburn)
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Uπs = SymbolicWedderburn.image_basis.(ds)
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T = eltype(first(Uπs))
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degrees = SymbolicWedderburn.degree.(ds)
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prog = ProgressMeter.Progress(
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length(invariant_vectors(wedderburn)),
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dt=1,
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desc="Adding constraints... ",
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enabled=show_progress,
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barlen=60,
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showspeed=true
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)
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for (i, iv) in enumerate(invariant_vectors(wedderburn))
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# @debug i
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i % 100 == 0 && print('.')
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i % 10000 === 0 && print('\n')
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ProgressMeter.next!(prog, showvalues=__show_itrs(i, prog.n))
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x = dot(X, iv)
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u = dot(U, iv)
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M_orb = invariant_constraint!(M_orb, basis(parent(elt)), cnstrs, iv)
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M = SymbolicWedderburn.diagonalize!(M, M_orb, Uπs, degrees)
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SparseArrays.droptol!.(M, 10 * eps(T) * max(size(M_orb)...))
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Ms = SymbolicWedderburn.diagonalize!(Ms, M_orb, wedderburn)
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SparseArrays.droptol!.(Ms, 10 * eps(T) * max(size(M_orb)...))
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# @debug [nnz(m) / length(m) for m in M]
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# spM = sparse.(M)
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# @time M_dot_P = sum(dot(spM[π], P[π]) for π in eachindex(spM) if !iszero(spM[π]))
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# @info density = [count(!iszero, m) / sum(length, m) for m in M]
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# @info [nnz(m) / length(m) for m in Ms]
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if feasibility_problem
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JuMP.@constraint(model, x == __fast_recursive_dot!(JuMP.AffExpr(), P, M))
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JuMP.@constraint(
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model,
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x == __fast_recursive_dot!(JuMP.AffExpr(), P, Ms)
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)
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else
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JuMP.@constraint(model, x - λ * u == __fast_recursive_dot!(JuMP.AffExpr(), P, M))
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JuMP.@constraint(
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model,
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x - λ * u == __fast_recursive_dot!(JuMP.AffExpr(), P, Ms)
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)
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end
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end
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ProgressMeter.finish!(prog)
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return model, P
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end
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